Use Excel to estimate the linear OLS demand regression for the iTunes focus group data in the Managerial Solution. What is the R²? What are the coefficient estimates, the standard errors and the t-statistics for each coefficient? Using a 95% confidence criterion, would you reject the hypothesis that the price coefficient is zero? (You can compare most of your answers to those in the Managerial Solution). Price, $ per song 1.49 1.29 1.19 1.09 0.99 0.89 0.79 0.69 0.49 Quantity, songs per year 441 493 502 536 615 643 740 757 810 The regression's R² value is 96. (Enter your response rounded to two decimal places.) Using the Excel trendline option to estimate a linear demand function, the linear demand function is Q= 1023.9412.82 p. (Enter your response rounded to two decimal places.) The standard error on the intercept is .12 and the standard error on the price coefficient is 2.42. (Enter your response rounded to two decimal places.)

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Use Excel to estimate the linear OLS demand regression for the iTunes focus group data in the Managerial Solution.
What is the R²? What are the coefficient estimates, the standard errors and the t-statistics for each coefficient? Using
a 95% confidence criterion, would you reject the hypothesis that the price coefficient is zero? (You can compare most of
your answers to those in the Managerial Solution).
Price, $ per song
1.49
1.29
1.19
1.09
0.99
0.89
0.79
0.69
0.49
Quantity, songs per year
441
493
502
536
615
643
740
757
810
The regression's R² value is 96. (Enter your response rounded to two decimal places.)
Using the Excel trendline option to estimate a linear demand function, the linear demand function is
Q = 1023.9412.82 p. (Enter your response rounded to two decimal places.)
The standard error on the intercept is .12 and the standard error on the price coefficient is 2.42. (Enter your response
rounded to two decimal places.)
Transcribed Image Text:Use Excel to estimate the linear OLS demand regression for the iTunes focus group data in the Managerial Solution. What is the R²? What are the coefficient estimates, the standard errors and the t-statistics for each coefficient? Using a 95% confidence criterion, would you reject the hypothesis that the price coefficient is zero? (You can compare most of your answers to those in the Managerial Solution). Price, $ per song 1.49 1.29 1.19 1.09 0.99 0.89 0.79 0.69 0.49 Quantity, songs per year 441 493 502 536 615 643 740 757 810 The regression's R² value is 96. (Enter your response rounded to two decimal places.) Using the Excel trendline option to estimate a linear demand function, the linear demand function is Q = 1023.9412.82 p. (Enter your response rounded to two decimal places.) The standard error on the intercept is .12 and the standard error on the price coefficient is 2.42. (Enter your response rounded to two decimal places.)
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