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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A market researcher is interested in the average amount of money spent per year by college students on clothing.From 25 years of annual data,the following estimated regression was obtained through least squares:
yt = 48.75 + THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A market researcher is interested in the average amount of money spent per year by college students on clothing.From 25 years of annual data,the following estimated regression was obtained through least squares: y<sub>t</sub> = 48.75 + + + where the numbers in parentheses below the coefficients are the coefficient standard errors,and y = Expenditure per student,in dollars,on clothes x<sub>1</sub> = Disposable income per student,in dollars,after the payment of tuition,fees,and room and board. x<sub>2</sub> = Index of advertising,aimed at the student market,on clothes -Test at the 5% level,against the obvious one-sided alternative,the null hypothesis that,all else being equal,advertising does not affect expenditures on clothes in this market.
+ THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A market researcher is interested in the average amount of money spent per year by college students on clothing.From 25 years of annual data,the following estimated regression was obtained through least squares: y<sub>t</sub> = 48.75 + + + where the numbers in parentheses below the coefficients are the coefficient standard errors,and y = Expenditure per student,in dollars,on clothes x<sub>1</sub> = Disposable income per student,in dollars,after the payment of tuition,fees,and room and board. x<sub>2</sub> = Index of advertising,aimed at the student market,on clothes -Test at the 5% level,against the obvious one-sided alternative,the null hypothesis that,all else being equal,advertising does not affect expenditures on clothes in this market.
+ THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A market researcher is interested in the average amount of money spent per year by college students on clothing.From 25 years of annual data,the following estimated regression was obtained through least squares: y<sub>t</sub> = 48.75 + + + where the numbers in parentheses below the coefficients are the coefficient standard errors,and y = Expenditure per student,in dollars,on clothes x<sub>1</sub> = Disposable income per student,in dollars,after the payment of tuition,fees,and room and board. x<sub>2</sub> = Index of advertising,aimed at the student market,on clothes -Test at the 5% level,against the obvious one-sided alternative,the null hypothesis that,all else being equal,advertising does not affect expenditures on clothes in this market.
where the numbers in parentheses below the coefficients are the coefficient standard errors,and
y = Expenditure per student,in dollars,on clothes
x1 = Disposable income per student,in dollars,after the payment of tuition,fees,and room and board.
x2 = Index of advertising,aimed at the student market,on clothes
-Test at the 5% level,against the obvious one-sided alternative,the null hypothesis that,all else being equal,advertising does not affect expenditures on clothes in this market.

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H0 : β2 = 0,H1 : β2 > 0
t = 0.025 ...

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