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SCENARIO 13-1
a Large National Bank Charges Local Companies for Using

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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:
Yi = β\beta 0 + β\beta 1 Xi + ε\varepsilon i
The results of the simple linear regression are provided below.  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: Y<sub>i </sub>= \beta <sub>0</sub> + \beta <sub>1</sub> X<sub>i </sub>+ \varepsilon  <sub>i</sub> The results of the simple linear regression are provided below.   ? </sup>= -2,700 +20 X ,S<sub>Y</sub><sub>X</sub><sub> </sub><sub> </sub>= 65,two-tail p value = 0.034 (for testing  \beta <sub>1</sub>)     -Referring to Scenario 13-1,a 95% confidence interval for  \beta <sub>1 </sub>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 ? = 0.05 level,there is no evidence of a linear relationship between service charge (Y) and sales revenue (X) .
? = -2,700 +20 X ,SYX = 65,two-tail p value = 0.034 (for testing β\beta 1)
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-Referring to Scenario 13-1,a 95% confidence interval for β\beta 1 is (15,30) .Interpret the interval.


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