5. Construct a confidence interval for the mean value of the profit y, in a given year, for a capital investment z = 22 and a value of the advertising expenditures z = 6. Use a = 0.05. 6. Construct a prediction interval for the value of the profit y, in a given year, for a capital investment = 2 and a value of the advertising expenditures z3 = 6. Use a = 0.05. Compare the confidence and the prediction intervals in term of size and precision. Find the coefficient of determination, R² and the adjusted F. Which of these two quantities 7. is the most appropriate to find what percentage of the overall variation is explained by the model. Explain your choice!

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Exercise 2.
In order to study the relationship of advertising and capital investment with corporate
profits, the following data, recorded in units of $ 100, 000, were collected for 10 medium-sized firms in the same
year. The variable y represents profit for the year, ri represents capilal investment, and rz represents advertising
expenditures:
Year y Capital ri
Advertising ra
15
25
16
1
2
6
3
30
1
12
29
1
20
16
12
18
15
13
6
16
2
Using the model y = Bo +B11 +Br2+e and Minitab, find the least-squares prediction equation
1.
for these data.
2.
Give appropriate interpretations for the estimated coeflicients by, b1, b2.
3.
Use the overall F test with Minitab to determine whether the model contributes significant
information for the prediction of y. Use a = 0.05.
Does advertising expenditure contribute significant information for the prediction of y, given that
the capital r, is already in the model? Use a = 0.05 and Minitab output.
5.
Construct a confidence interval for the mean value of the profit y, in a given year, for a capital
investment z = 22 and a value of the advertising expenditures z2 = 6. Use a = 0.05.
6.
Construct a prediction interval for the value of the profit y, in a given year, for a capital investment
n = 22 and a value of the advertising expenditures r2 = 6. Use a = 0.05. Compare the confidence and the
prediction intervals in term of size and precision.
7.
Find the coefficient of determination, R and the adjusted R. Which of these two quantities
is the most appropriate to find what percentage of the overall variation is explained by the model. Explain
your choice!
8.
Using Minitab, plot the residuals against the values of the capital investment ri and against the
values of the advertising expenditures and finally against the predicted values y of the profit. Use these plots
to analyze the equal variances assumptions.
9.
Using Minitab, plot the normal plot of residuals. Do you observe a departure from the normality
assumption?
Transcribed Image Text:Exercise 2. In order to study the relationship of advertising and capital investment with corporate profits, the following data, recorded in units of $ 100, 000, were collected for 10 medium-sized firms in the same year. The variable y represents profit for the year, ri represents capilal investment, and rz represents advertising expenditures: Year y Capital ri Advertising ra 15 25 16 1 2 6 3 30 1 12 29 1 20 16 12 18 15 13 6 16 2 Using the model y = Bo +B11 +Br2+e and Minitab, find the least-squares prediction equation 1. for these data. 2. Give appropriate interpretations for the estimated coeflicients by, b1, b2. 3. Use the overall F test with Minitab to determine whether the model contributes significant information for the prediction of y. Use a = 0.05. Does advertising expenditure contribute significant information for the prediction of y, given that the capital r, is already in the model? Use a = 0.05 and Minitab output. 5. Construct a confidence interval for the mean value of the profit y, in a given year, for a capital investment z = 22 and a value of the advertising expenditures z2 = 6. Use a = 0.05. 6. Construct a prediction interval for the value of the profit y, in a given year, for a capital investment n = 22 and a value of the advertising expenditures r2 = 6. Use a = 0.05. Compare the confidence and the prediction intervals in term of size and precision. 7. Find the coefficient of determination, R and the adjusted R. Which of these two quantities is the most appropriate to find what percentage of the overall variation is explained by the model. Explain your choice! 8. Using Minitab, plot the residuals against the values of the capital investment ri and against the values of the advertising expenditures and finally against the predicted values y of the profit. Use these plots to analyze the equal variances assumptions. 9. Using Minitab, plot the normal plot of residuals. Do you observe a departure from the normality assumption?
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