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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

Question 52

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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 the hypotheses H<sub>0</sub> : There is no autocorrelation vs.H<sub>1 </sub>: There is autocorrelation,given that: Durbin-Watson Statistic d = 1.89,n = 28,k = 3,and α = 0.01
+ 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 the hypotheses H<sub>0</sub> : There is no autocorrelation vs.H<sub>1 </sub>: There is autocorrelation,given that: Durbin-Watson Statistic d = 1.89,n = 28,k = 3,and α = 0.01
+ 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 the hypotheses H<sub>0</sub> : There is no autocorrelation vs.H<sub>1 </sub>: There is autocorrelation,given that: Durbin-Watson Statistic d = 1.89,n = 28,k = 3,and α = 0.01
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 the hypotheses H0 : There is no autocorrelation vs.H1 : There is autocorrelation,given that: Durbin-Watson Statistic d = 1.89,n = 28,k = 3,and α = 0.01

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Based on the data provided:
dL = 0.97 and...

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