Question 1

Exhibit 14-9
A regression and correlation analysis resulted in the following information regarding a dependent variable (y)and an independent variable (x).
 
-Refer to Exhibit 14-9.The coefficient of determination equals
A)0.6472
B)-0.6472
C)0
D)1

Accepted Answer

The answer of Exhibit 14-9
A regression and correlation analysis resulted...

Question 2

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The slope of the regression function is
A)-1
B)1.0
C)11
D)0.0

Accepted Answer

The answer of Exhibit 14-10
The following information regarding a dependent...

Question 3

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The MSE is
A)17
B)8
C)34
D)42

Accepted Answer

The answer of Exhibit 14-10
The following information regarding a dependent...

Question 4

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The point estimate of Y when X = 3 is
A)11
B)14
C)8
D)0

Accepted Answer

When X=3, the value of Y is estimated to be 8. This can be seen from the point estimate on the regression line, which intersects the X-axis at X=3 and the Y-axis at Y=8.

Question 5

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y)and an independent variable (x). -Refer to Exhibit 14-9.The least squares estimate of b₀ equals A)0.923 B)1.991 C)-1.991 D)-0.923

Accepted Answer

The answer of Exhibit 14-9
A regression and correlation analysis resulted...

Question 6

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Accepted Answer

The answer of Part of an Excel output relating X...

Question 7

Exhibit 14-8
The following information regarding a dependent variable Y and an independent variable X is provided
 
-Refer to Exhibit 14-8.The coefficient of correlation is
A)-0.2295
B)0.2295
C)0.0527
D)-0.0572

Accepted Answer

The answer of Exhibit 14-8
The following information regarding a dependent...

Question 8

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The Y intercept is
A)-1
B)1.0
C)11
D)0.0

Accepted Answer

The Y intercept is the point where the line intersects the Y-axis, which is the value of Y when X is 0. From the graph, we can see that when X is 0, Y is 11. Therefore, the Y intercept is 11.

Question 9

Shown below is a portion of a computer output for a regression analysis relating Y (dependent variable)and X (independent variable).
  
a.Perform a t test using the p-value approach and determine whether or not Y and X are related.Let $\alpha$ = 0.05.
b.Using the p-value approach,perform an F test and determine whether or not X and Y are related.
c.Compute the coefficient of determination and fully interpret its meaning.Be very specific.

Accepted Answer

The answer of Shown below is a portion of a...

Question 10

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Accepted Answer

The answer of Part of an Excel output relating X...

Question 11

Exhibit 14-9
A regression and correlation analysis resulted in the following information regarding a dependent variable (y)and an independent variable (x).
 
-Refer to Exhibit 14-9.The sum of squares due to regression (SSR)is
A)1434
B)505.98
C)50.598
D)928.02

Accepted Answer

The formula for SSR is SSR = SST - SSE, where SST is the total sum of squares and SSE is the sum of squares due to error. From the exhibit, we know that SSE is 505.98 and SST is 1434 + 505.98 = 1940.98. Therefore, SSR is 1940.98 - 505.98 = 1435, which is closest to choice D.

Question 12

Assume you have noted the following prices for books and the number of pages that each book contains.
  
a.Develop a least-squares estimated regression line.
b.Compute the coefficient of determination and explain its meaning.
c.Compute the correlation coefficient between the price and the number of pages.Test to see if x and y are related.Use $\alpha$ = 0.10.

Accepted Answer

The answer of Assume you have noted the following prices...

Question 13

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The coefficient of determination is
A)0.1905
B)-0.1905
C)0.4364
D)-0.4364

Accepted Answer

The answer of Exhibit 14-10
The following information regarding a dependent...

Question 14

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The point estimate of Y when X = -3 is
A)11
B)14
C)8
D)0

Accepted Answer

When X=3, the value of Y is estimated to be 8. This can be seen from the point estimate on the regression line, which intersects the X-axis at X=3 and the Y-axis at Y=8.

Question 15

The following data represent the number of flash drives sold per day at a local computer shop and their prices.
  
a.Develop a least-squares regression line and explain what the slope of the line indicates.
b.Compute the coefficient of determination and comment on the strength of relationship between x and y.
c.Compute the sample correlation coefficient between the price and the number of flash drives sold.Use $\alpha$= 0.01 to test the relationship between x and y.

Accepted Answer

The answer of The following data represent the number of...

Question 16

Exhibit 14-9
A regression and correlation analysis resulted in the following information regarding a dependent variable (y)and an independent variable (x).
 
-Refer to Exhibit 14-9.The sample correlation coefficient equals
A)0.8045
B)-0.8045
C)0
D)1

Accepted Answer

The sample correlation coefficient is the square root of the coefficient of determination (R-squared), which is 0.6476. Taking the square root of 0.6476 gives us approximately 0.8045. The negative sign is not included in the correlation coefficient, so the answer is A.

Question 17

Exhibit 14-10
The following information regarding a dependent variable Y and an independent variable X is provided.
 
-Refer to Exhibit 14-10.The coefficient of correlation is
A)0.1905
B)-0.1905
C)0.4364
D)-0.4364

Accepted Answer

The answer of Exhibit 14-10
The following information regarding a dependent...

Question 18

Assume you have noted the following prices for books and the number of pages that each book contains.
  
a.Perform an F test and determine if the price and the number of pages of the books are related.Let $\alpha$ = 0.01.
b.Perform a t test and determine if the price and the number of pages of the books are related.Let $\alpha$ = 0.01.
c.Develop a 90% confidence interval for estimating the average price of books that contain 800 pages.
d.Develop a 90% confidence interval to estimate the price of a specific book that has 800 pages.

Accepted Answer

The answer of Assume you have noted the following prices...

Question 19

The following data represent the number of flash drives sold per day at a local computer shop and their prices.
  
a.Perform an F test and determine if the price and the number of flash drives sold are related.Let $\alpha$= 0.01.
b.Perform a t test and determine if the price and the number of flash drives sold are related.Let $\alpha$ = 0.01.

Accepted Answer

The answer of The following data represent the number of...

Question 20

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y)and an independent variable (x). -Refer to Exhibit 14-9.The least squares estimate of b₁ equals A)0.923 B)1.991 C)-1.991 D)-0.923

Accepted Answer

The least squares estimate of b0, the y-intercept, is 8.6. The least squares estimate of b1, the slope, is (0.468*104)/(22*10.6) = 0.216. Therefore, the least squares estimate of b0+b1x is 8.6+0.216x. The question is asking for the least squares estimate of b1, which is 0.216 multiplied by the standard deviation of x (10.6) divided by the standard deviation of y (22), which equals 1.991.

Quiz 14: Simple Linear Regression

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The coefficient of determination equals

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The slope of the regression function is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The MSE is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The point estimate of Y when X = 3 is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b₀ equals

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Exhibit 14-8 The following information regarding a dependent variable Y and an independent variable X is provided -Refer to Exhibit 14-8.The coefficient of correlation is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The Y intercept is

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The sum of squares due to regression (SSR) is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The coefficient of determination is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The point estimate of Y when X = -3 is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The sample correlation coefficient equals

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The coefficient of correlation is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b₁ equals

Quiz 14: Simple Linear Regression

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The coefficient of determination equals

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The slope of the regression function is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The MSE is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The point estimate of Y when X = 3 is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b0 equals

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Exhibit 14-8 The following information regarding a dependent variable Y and an independent variable X is provided -Refer to Exhibit 14-8.The coefficient of correlation is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The Y intercept is

Part of an Excel output relating X (independent variable)and Y (dependent variable)is shown below.Fill in all the blanks marked with "?".

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The sum of squares due to regression (SSR) is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The coefficient of determination is

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The point estimate of Y when X = -3 is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The sample correlation coefficient equals

Exhibit 14-10 The following information regarding a dependent variable Y and an independent variable X is provided. -Refer to Exhibit 14-10.The coefficient of correlation is

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b1 equals

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b₀ equals

Exhibit 14-9 A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . -Refer to Exhibit 14-9.The least squares estimate of b₁ equals