Deck 13: Simple Linear Regression

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سؤال
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <div style=padding-top: 35px> The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <div style=padding-top: 35px> <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <div style=padding-top: 35px> two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <div style=padding-top: 35px>
Referring to Scenario 13-1, interpret the estimate of <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <div style=padding-top: 35px> the Y-intercept of the line.

A)All companies will be charged at least $2,700 by the bank.
B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
C)About 95% of the observed service charges fall within $2,700 of the least squares line.
D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700.
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سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?</strong> A)100% B)88.54% C)78.39% D)48.19% <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?

A)100%
B)88.54%
C)78.39%
D)48.19%
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px>
Referring to Scenario 13-2, to test that the regression coefficient, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> is not equal to 0, what would be the critical values? Use <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> = 0.05.

A) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 2.5706
B) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 2.7764
C) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 3.1634
D) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 3.4954
سؤال
The least squares method minimizes which of the following?

A)SSR
B)SSE
C)SST
D)All of the above
سؤال
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px> The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px> <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px> two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px>
Referring to Scenario 13-1, a 95% confidence interval for <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px> is (15, 30).Interpret the interval.

A)You are 95% confident that the mean service charge will fall between $15 and $30 per month.
B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y).
C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X).
D)At the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <div style=padding-top: 35px> = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X).
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the estimate,   for the data?</strong> A)0.784 B)0.885 C)12.650 D)16.299 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the standard error of the estimate, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the estimate,   for the data?</strong> A)0.784 B)0.885 C)12.650 D)16.299 <div style=padding-top: 35px> for the data?

A)0.784
B)0.885
C)12.650
D)16.299
سؤال
The Y-intercept <strong>The Y-intercept   represents the</strong> A)estimated average Y when X = 0. B)change in estimated average Y per unit change in X. C)predicted value of Y. D)variation around the sample regression line. <div style=padding-top: 35px> represents the

A)estimated average Y when X = 0.
B)change in estimated average Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, if the price of the candy bar is set at $2, the estimated mean sales will be</strong> A)30 B)65 C)90 D)100 <div style=padding-top: 35px>
Referring to Scenario 13-2, if the price of the candy bar is set at $2, the estimated mean sales will be

A)30
B)65
C)90
D)100
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the estimated slope for the candy bar price and sales data?</strong> A)161.386 B)0.784 C)-3.810 D)-48.193 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the estimated slope for the candy bar price and sales data?

A)161.386
B)0.784
C)-3.810
D)-48.193
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the regression slope estimate,   ?</strong> A)0.784 B)0.885 C)12.650 D)16.299 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the standard error of the regression slope estimate, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the regression slope estimate,   ?</strong> A)0.784 B)0.885 C)12.650 D)16.299 <div style=padding-top: 35px> ?

A)0.784
B)0.885
C)12.650
D)16.299
سؤال
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px>
Referring to Scenario 13-1, interpret the p-value for testing whether <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> exceeds 0.

A)There is sufficient evidence (at the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
B)There is insufficient evidence (at the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <div style=padding-top: 35px> = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
C)Sales revenue (X)is a poor predictor of service charge (Y).
D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034.
سؤال
The Y-intercept (b0)represents the

A)predicted value of Y when X = 0.
B)change in estimated Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained by prices?</strong> A)100% B)88.54% C)78.39% D)48.19% <div style=padding-top: 35px>
Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained by prices?

A)100%
B)88.54%
C)78.39%
D)48.19%
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is   for these data?</strong> A)0 B)1.66 C)2.54 D)25.66 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is   for these data?</strong> A)0 B)1.66 C)2.54 D)25.66 <div style=padding-top: 35px> for these data?

A)0
B)1.66
C)2.54
D)25.66
سؤال
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <div style=padding-top: 35px> The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <div style=padding-top: 35px> <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <div style=padding-top: 35px> two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <div style=padding-top: 35px>
Referring to Scenario 13-1, interpret the estimate of <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <div style=padding-top: 35px> the standard deviation of the random error term (standard error of the estimate)in the model.

A)About 95% of the observed service charges fall within $65 of the least squares line.
B)About 95% of the observed service charges equal their corresponding predicted values.
C)About 95% of the observed service charges fall within $130 of the least squares line.
D)For every $1 million increase in sales revenue, we expect a service charge to increase $65.
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, if the price of the candy bar is set at $2, the predicted sales will be</strong> A)30 B)65 C)90 D)100 <div style=padding-top: 35px>
Referring to Scenario 13-2, if the price of the candy bar is set at $2, the predicted sales will be

A)30
B)65
C)90
D)100
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px>
Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> = 0.05.

A) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 2.5706
B) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 2.7765
C) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 3.1634
D) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 <div style=padding-top: 35px> 3.4954
سؤال
The slope <strong>The slope   represents</strong> A)predicted value of Y when X = 0. B)the estimated average change in Y per unit change in X. C)the predicted value of Y. D)variation around the line of regression. <div style=padding-top: 35px> represents

A)predicted value of Y when X = 0.
B)the estimated average change in Y per unit change in X.
C)the predicted value of Y.
D)variation around the line of regression.
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the coefficient of correlation for these data?</strong> A)-0.8854 B)-0.7839 C)0.7839 D)0.8854 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the coefficient of correlation for these data?

A)-0.8854
B)-0.7839
C)0.7839
D)0.8854
سؤال
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?</strong> A)161.386 B)0.784 C)-3.810 D)-48.193 <div style=padding-top: 35px>
Referring to Scenario 13-2, what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?

A)161.386
B)0.784
C)-3.810
D)-48.193
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the total sum of squares (SST)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the total sum of squares (SST)is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the least squares estimate of the Y-intercept is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the least squares estimate of the Y-intercept is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the standard error of estimate is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the standard error of estimate is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the prediction for the number of job offers for a person with 2 coop jobs is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the prediction for the number of job offers for a person with 2 coop jobs is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the coefficient of determination is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the coefficient of determination is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the coefficient of correlation is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the coefficient of correlation is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from ________ to ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from ________ to ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the regression sum of squares (SSR)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the regression sum of squares (SSR)is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the error or residual sum of squares (SSE)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the error or residual sum of squares (SSE)is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from ________ to ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from ________ to ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px> .The value of SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px> in this sample is ________.
سؤال
The Chancellor of a university has commissioned a team to collect data on students' GPAs and the amount of time they spend bar hopping every week (measured in minutes).He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on general students' GPAs.His team should use a t test on the slope of the population regression.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from ________ to ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from ________ to ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, set up a scatter plot.<div style=padding-top: 35px>
Referring to Scenario 13-3, set up a scatter plot.
سؤال
The residual represents the discrepancy between the observed dependent variable and its _______ value.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the least squares estimate of the slope is __________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the least squares estimate of the slope is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.<div style=padding-top: 35px>
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, set up a scatter plot.<div style=padding-top: 35px>
Referring to Scenario 13-4, set up a scatter plot.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the total sum of squares (SST)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the total sum of squares (SST)is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the standard error of estimate is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the standard error of estimate is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the coefficient of determination is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the coefficient of determination is __________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, ______% of the total variation in sales generated can be explained by the number of new clients brought in.<div style=padding-top: 35px>
Referring to Scenario 13-4, ______% of the total variation in sales generated can be explained by the number of new clients brought in.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between ________ and ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between ________ and ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the least squares estimate of the slope is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the least squares estimate of the slope is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between ________ and ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between ________ and ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the error or residual sum of squares (SSE)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the error or residual sum of squares (SSE)is __________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the standard error of the estimated slope coefficient is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the standard error of the estimated slope coefficient is __________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from ________ to ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from ________ to ________.
سؤال
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the regression sum of squares (SSR)is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the regression sum of squares (SSR)is __________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the coefficient of correlation is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the coefficient of correlation is __________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the least squares estimate of the Y-intercept is __________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the least squares estimate of the Y-intercept is __________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px> .The value of SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.<div style=padding-top: 35px> in this sample is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is _______.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is _______.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the __________ (wider or narrower)of the two intervals.<div style=padding-top: 35px>
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the __________ (wider or narrower)of the two intervals.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.
سؤال
SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the value of the quantity that the least squares regression line minimizes is ________.<div style=padding-top: 35px>
Referring to Scenario 13-5, the value of the quantity that the least squares regression line minimizes is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from ________ to ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from ________ to ________.
سؤال
SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the estimates of the Y-intercept and slope are ________ and ________, respectively.<div style=padding-top: 35px>
Referring to Scenario 13-5, the estimates of the Y-intercept and slope are ________ and ________, respectively.
سؤال
SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the standard error of the estimate is ________.<div style=padding-top: 35px>
Referring to Scenario 13-5, the standard error of the estimate is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is _______.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is _______.
سؤال
SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the coefficient of determination is ________.<div style=padding-top: 35px>
Referring to Scenario 13-5, the coefficient of determination is ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is ________.<div style=padding-top: 35px>
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is ________.
سؤال
SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the prediction for a quarter in which X = 120 is Y = ________.<div style=padding-top: 35px>
Referring to Scenario 13-5, the prediction for a quarter in which X = 120 is Y = ________.
سؤال
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is _______.<div style=padding-top: 35px>
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is _______.
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Deck 13: Simple Linear Regression
1
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700.
Referring to Scenario 13-1, interpret the estimate of <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the Y-intercept of the line.</strong> A)All companies will be charged at least $2,700 by the bank. B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value. C)About 95% of the observed service charges fall within $2,700 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700. the Y-intercept of the line.

A)All companies will be charged at least $2,700 by the bank.
B)There is no practical interpretation since a sales revenue of $0 is a nonsensical value.
C)About 95% of the observed service charges fall within $2,700 of the least squares line.
D)For every $1 million increase in sales revenue, we expect a service charge to decrease $2,700.
All companies will be charged at least $2,700 by the bank.
2
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?</strong> A)100% B)88.54% C)78.39% D)48.19%
Referring to Scenario 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?

A)100%
B)88.54%
C)78.39%
D)48.19%
78.39%
3
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954
Referring to Scenario 13-2, to test that the regression coefficient, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 is not equal to 0, what would be the critical values? Use <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 = 0.05.

A) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 2.5706
B) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 2.7764
C) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 3.1634
D) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test that the regression coefficient,   is not equal to 0, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7764 C)   3.1634 D)   3.4954 3.4954
  2.7764 2.7764
4
The least squares method minimizes which of the following?

A)SSR
B)SSE
C)SST
D)All of the above
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5
SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X).
Referring to Scenario 13-1, a 95% confidence interval for <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). is (15, 30).Interpret the interval.

A)You are 95% confident that the mean service charge will fall between $15 and $30 per month.
B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y).
C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X).
D)At the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, a 95% confidence interval for   is (15, 30).Interpret the interval.</strong> A)You are 95% confident that the mean service charge will fall between $15 and $30 per month. B)You are 95% confident that the sales revenue (X)will increase between $15 and $30 million for every $1 increase in service charge (Y). C)You are 95% confident that mean service charge (Y)will increase between $15 and $30 for every $1 million increase in sales revenue (X). D)At the   = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X). = 0.05 level, there is no evidence of a linear relationship between service charge (Y)and sales revenue (X).
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the estimate,   for the data?</strong> A)0.784 B)0.885 C)12.650 D)16.299
Referring to Scenario 13-2, what is the standard error of the estimate, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the estimate,   for the data?</strong> A)0.784 B)0.885 C)12.650 D)16.299 for the data?

A)0.784
B)0.885
C)12.650
D)16.299
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The Y-intercept <strong>The Y-intercept   represents the</strong> A)estimated average Y when X = 0. B)change in estimated average Y per unit change in X. C)predicted value of Y. D)variation around the sample regression line. represents the

A)estimated average Y when X = 0.
B)change in estimated average Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, if the price of the candy bar is set at $2, the estimated mean sales will be</strong> A)30 B)65 C)90 D)100
Referring to Scenario 13-2, if the price of the candy bar is set at $2, the estimated mean sales will be

A)30
B)65
C)90
D)100
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the estimated slope for the candy bar price and sales data?</strong> A)161.386 B)0.784 C)-3.810 D)-48.193
Referring to Scenario 13-2, what is the estimated slope for the candy bar price and sales data?

A)161.386
B)0.784
C)-3.810
D)-48.193
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the regression slope estimate,   ?</strong> A)0.784 B)0.885 C)12.650 D)16.299
Referring to Scenario 13-2, what is the standard error of the regression slope estimate, <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the standard error of the regression slope estimate,   ?</strong> A)0.784 B)0.885 C)12.650 D)16.299 ?

A)0.784
B)0.885
C)12.650
D)16.299
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SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034.
Referring to Scenario 13-1, interpret the p-value for testing whether <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. exceeds 0.

A)There is sufficient evidence (at the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
B)There is insufficient evidence (at the <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the p-value for testing whether   exceeds 0.</strong> A)There is sufficient evidence (at the   = 0.05)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). B)There is insufficient evidence (at the   = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y). C)Sales revenue (X)is a poor predictor of service charge (Y). D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034. = 0.10)to conclude that sales revenue (X)is a useful linear predictor of service charge (Y).
C)Sales revenue (X)is a poor predictor of service charge (Y).
D)For every $1 million increase in sales revenue, you expect a service charge to increase $0.034.
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The Y-intercept (b0)represents the

A)predicted value of Y when X = 0.
B)change in estimated Y per unit change in X.
C)predicted value of Y.
D)variation around the sample regression line.
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained by prices?</strong> A)100% B)88.54% C)78.39% D)48.19%
Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained by prices?

A)100%
B)88.54%
C)78.39%
D)48.19%
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is   for these data?</strong> A)0 B)1.66 C)2.54 D)25.66
Referring to Scenario 13-2, what is <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is   for these data?</strong> A)0 B)1.66 C)2.54 D)25.66 for these data?

A)0
B)1.66
C)2.54
D)25.66
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SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model: <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. The results of the simple linear regression are provided below. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. two-tail p value =0.034 (for testing <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65.
Referring to Scenario 13-1, interpret the estimate of <strong>SCENARIO 13-1 A large national bank charges local companies for using their services.A bank official reported the results of a regression analysis designed to predict the bank's charges (Y)-- measured in dollars per month -- for services rendered to local companies.One independent variable used to predict service charges to a company is the company's sales revenue (X)-- measured in millions of dollars.Data for 21 companies who use the bank's services were used to fit the model:   The results of the simple linear regression are provided below.     two-tail p value =0.034 (for testing   Referring to Scenario 13-1, interpret the estimate of   the standard deviation of the random error term (standard error of the estimate)in the model.</strong> A)About 95% of the observed service charges fall within $65 of the least squares line. B)About 95% of the observed service charges equal their corresponding predicted values. C)About 95% of the observed service charges fall within $130 of the least squares line. D)For every $1 million increase in sales revenue, we expect a service charge to increase $65. the standard deviation of the random error term (standard error of the estimate)in the model.

A)About 95% of the observed service charges fall within $65 of the least squares line.
B)About 95% of the observed service charges equal their corresponding predicted values.
C)About 95% of the observed service charges fall within $130 of the least squares line.
D)For every $1 million increase in sales revenue, we expect a service charge to increase $65.
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SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, if the price of the candy bar is set at $2, the predicted sales will be</strong> A)30 B)65 C)90 D)100
Referring to Scenario 13-2, if the price of the candy bar is set at $2, the predicted sales will be

A)30
B)65
C)90
D)100
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17
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954
Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 = 0.05.

A) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 2.5706
B) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 2.7765
C) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 3.1634
D) <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, to test whether a change in price will have any impact on sales, what would be the critical values? Use   = 0.05.</strong> A)   2.5706 B)   2.7765 C)   3.1634 D)   3.4954 3.4954
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18
The slope <strong>The slope   represents</strong> A)predicted value of Y when X = 0. B)the estimated average change in Y per unit change in X. C)the predicted value of Y. D)variation around the line of regression. represents

A)predicted value of Y when X = 0.
B)the estimated average change in Y per unit change in X.
C)the predicted value of Y.
D)variation around the line of regression.
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19
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the coefficient of correlation for these data?</strong> A)-0.8854 B)-0.7839 C)0.7839 D)0.8854
Referring to Scenario 13-2, what is the coefficient of correlation for these data?

A)-0.8854
B)-0.7839
C)0.7839
D)0.8854
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20
SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below: <strong>SCENARIO 13-2 A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product.To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices.Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:   Referring to Scenario 13-2, what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?</strong> A)161.386 B)0.784 C)-3.810 D)-48.193
Referring to Scenario 13-2, what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?

A)161.386
B)0.784
C)-3.810
D)-48.193
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21
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the total sum of squares (SST)is __________.
Referring to Scenario 13-3, the total sum of squares (SST)is __________.
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22
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the least squares estimate of the Y-intercept is __________.
Referring to Scenario 13-3, the least squares estimate of the Y-intercept is __________.
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23
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the standard error of estimate is __________.
Referring to Scenario 13-3, the standard error of estimate is __________.
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24
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the prediction for the number of job offers for a person with 2 coop jobs is __________.
Referring to Scenario 13-3, the prediction for the number of job offers for a person with 2 coop jobs is __________.
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25
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the coefficient of determination is __________.
Referring to Scenario 13-3, the coefficient of determination is __________.
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26
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct both a 95% confidence interval estimate and a 95% prediction interval for X = 2.The confidence interval estimate would be the wider of the two intervals.
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27
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the coefficient of correlation is __________.
Referring to Scenario 13-3, the coefficient of correlation is __________.
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28
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from ________ to ________.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The prediction interval is from ________ to ________.
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29
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the regression sum of squares (SSR)is __________.
Referring to Scenario 13-3, the regression sum of squares (SSR)is __________.
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30
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The t critical value she would use is ________.
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31
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the error or residual sum of squares (SSE)is __________.
Referring to Scenario 13-3, the error or residual sum of squares (SSE)is __________.
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32
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from ________ to ________.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% confidence interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job.The confidence interval is from ________ to ________.
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33
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________. .The value of SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________. in this sample is ________.
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34
The Chancellor of a university has commissioned a team to collect data on students' GPAs and the amount of time they spend bar hopping every week (measured in minutes).He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on general students' GPAs.His team should use a t test on the slope of the population regression.
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35
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from ________ to ________.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job.The prediction interval is from ________ to ________.
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36
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, set up a scatter plot.
Referring to Scenario 13-3, set up a scatter plot.
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37
The residual represents the discrepancy between the observed dependent variable and its _______ value.
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38
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the least squares estimate of the slope is __________.
Referring to Scenario 13-3, the least squares estimate of the slope is __________.
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39
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is ________.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct a 95% prediction interval for the number of job offers received by a student who has had exactly two cooperative education jobs.The t critical value she would use is ________.
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40
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.
Referring to Scenario 13-3, suppose the director of cooperative education wants to construct two 95% confidence interval estimates.One is for the mean number of job offers received by students who have had exactly one cooperative education job and one for students who have had two.The confidence interval for students who have had one cooperative education job would be the wider of the two intervals.
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41
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, set up a scatter plot.
Referring to Scenario 13-4, set up a scatter plot.
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k this deck
42
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the total sum of squares (SST)is __________.
Referring to Scenario 13-4, the total sum of squares (SST)is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
43
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The value of the test statistic is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
44
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the standard error of estimate is __________.
Referring to Scenario 13-4, the standard error of estimate is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
45
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
46
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is ________.
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The t critical value they would use is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
47
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the coefficient of determination is __________.
Referring to Scenario 13-4, the coefficient of determination is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
48
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, ______% of the total variation in sales generated can be explained by the number of new clients brought in.
Referring to Scenario 13-4, ______% of the total variation in sales generated can be explained by the number of new clients brought in.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
49
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between ________ and ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.The p-value of the test is between ________ and ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
50
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the least squares estimate of the slope is __________.
Referring to Scenario 13-4, the least squares estimate of the slope is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
51
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between ________ and ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is between ________ and ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
52
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the error or residual sum of squares (SSE)is __________.
Referring to Scenario 13-4, the error or residual sum of squares (SSE)is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
53
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the standard error of the estimated slope coefficient is __________.
Referring to Scenario 13-4, the standard error of the estimated slope coefficient is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
54
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
55
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from ________ to ________.
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% confidence interval estimate for the mean sales made by brokers who have brought into the firm 24 new clients.The confidence interval is from ________ to ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
56
SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below. SCENARIO 13-3 The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place.She takes a random sample of 4 students.For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation.These data are presented in the table below.   Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
Referring to Scenario 13-3, the director of cooperative education wanted to test the hypothesis that the population slope was equal to 3.0.For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
57
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the regression sum of squares (SSR)is __________.
Referring to Scenario 13-4, the regression sum of squares (SSR)is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
58
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the coefficient of correlation is __________.
Referring to Scenario 13-4, the coefficient of correlation is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
59
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is ________.
Referring to Scenario 13-4, the prediction for the amount of sales (in $1,000s)for a person who brings 25 new clients into the firm is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
60
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the least squares estimate of the Y-intercept is __________.
Referring to Scenario 13-4, the least squares estimate of the Y-intercept is __________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
61
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is ________.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The p-value of the test is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
62
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is ________.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The p-value of the test is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
63
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
64
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________. .The value of SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The denominator of the test statistic is   .The value of   in this sample is ________. in this sample is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
65
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
66
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the null hypothesis should be _______ (rejected or not rejected).
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
k this deck
67
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is _______.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in did not affect the amount of sales generated.The value of the test statistic is _______.
فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 214 في هذه المجموعة.
فتح الحزمة
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68
SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the __________ (wider or narrower)of the two intervals.
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct both a 99% confidence interval estimate and a 99% prediction interval for X = 24.The confidence interval estimate would be the __________ (wider or narrower)of the two intervals.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.For a test with a level of significance of 0.01, the null hypothesis should be rejected if the value of the test statistic is ________.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.At a level of significance of 0.01, the decision that should be made implies that the number of new clients brought in _____ (had or did not have)a positive impact on the amount of sales generated.
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SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the value of the quantity that the least squares regression line minimizes is ________.
Referring to Scenario 13-5, the value of the quantity that the least squares regression line minimizes is ________.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from ________ to ________.
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The prediction interval is from ________ to ________.
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SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the estimates of the Y-intercept and slope are ________ and ________, respectively.
Referring to Scenario 13-5, the estimates of the Y-intercept and slope are ________ and ________, respectively.
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SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the standard error of the estimate is ________.
Referring to Scenario 13-5, the standard error of the estimate is ________.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is _______.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.The value of the test statistic is _______.
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SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the coefficient of determination is ________.
Referring to Scenario 13-5, the coefficient of determination is ________.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is ________.
Referring to Scenario 13-4, suppose the managers of the brokerage firm want to construct n a 99% prediction interval for the sales made by a broker who has brought into the firm 18 new clients.The t critical value they would use is ________.
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SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results: SCENARIO 13-5 The managing partner of an advertising agency believes that his company's sales are related to the industry sales.He uses Microsoft Excel to analyze the last 4 years of quarterly data with the following results:   Referring to Scenario 13-5, the prediction for a quarter in which X = 120 is Y = ________.
Referring to Scenario 13-5, the prediction for a quarter in which X = 120 is Y = ________.
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SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows. SCENARIO 13-4 The managers of a brokerage firm are interested in finding out if the number of new clients a broker brings into the firm affects the sales generated by the broker.They sample 12 brokers and determine the number of new clients they have enrolled in the last year and their sales amounts in thousands of dollars.These data are presented in the table that follows.   Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is _______.
Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the number of new clients brought in had a positive impact on the amount of sales generated.The value of the test statistic is _______.
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