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TABLE 13-1 A Large National Bank Charges Local Companies for Using Their

Question 15

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TABLE 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:
Yᵢ = β₀ + β₁Xi + Eᵢ
The results of the simple linear regression are provided below.
 
-Referring to Table 13-1, a 95% confidence interval for β₁ 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 α = 0.05 level, there is no evidence of a linear relationship between service charge (
Y) and sales revenue (

TABLE 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:
Yᵢ = β₀ + β₁Xi + Eᵢ
The results of the simple linear regression are provided below.
TABLE 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: Yᵢ = β₀ + β₁Xi + Eᵢ The results of the simple linear regression are provided below.    -Referring to Table 13-1, a 95% confidence interval for β₁ 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 α = 0.05 level, there is no evidence of a linear relationship between service charge (Y)  and sales revenue (X) .
-Referring to Table 13-1, a 95% confidence interval for β₁ 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 α = 0.05 level, there is no evidence of a linear relationship between service charge (Y) and sales revenue (X) .

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