Concept explainers
To test: A regression to predict the
Answer to Problem 44E
Solution: The regression equation is
with
The ANOVA is given below:
Degrees of freedom |
Sum of Squares |
Mean sum of squares |
F-statistic |
P-value |
|
Regression |
1 |
1134474 |
1134474 |
7.56 |
0.010 |
Residual |
29 |
4351193 |
150041 |
||
Total |
30 |
5485667 |
Explanation of Solution
Calculation: To perform the
Step 1: Open the Minitab worksheet.
Step 2: Go to Stat > Regression > Regression.
Step 3: Select “
Step 4: Go to graph and select residual versus fits.
Step 5: Click “OK.”
The estimated regression equation is
with
Conclusion: Since the P-value is less than 0.05, the result is significant. The variation in the variable
To test: A regression to predict the
Answer to Problem 44E
Solution: The regression equation is
with
The ANOVA is given below:
Degrees of freedom |
Sum of Squares |
Mean sum of squares |
F-statistic |
P-value |
|
Regression |
1 |
2521128 |
2521128 |
24.66 |
0.000 |
Residual |
29 |
2964539 |
102225 |
||
Total |
30 |
5485667 |
Explanation of Solution
Calculation: To perform the regression analysis to predict
Step 1: Open the Minitab worksheet.
Step 2: Go to Stat > Regression > Regression.
Step 3: Select “
Step 4: Go to graph and select residual versus fits.
Step 5: Click “OK.”
The estimated regression equation is
with
Conclusion: Since the P-value is less than 0.05, the result is significant. The variation in the variable
To test: A regression to predict the
Answer to Problem 44E
Solution: The Regression equation is
with
The ANOVA is given below:
Degrees of freedom |
Sum of Squares |
Mean sum of squares |
F-statistic |
P-value |
|
Regression |
2 |
2539934 |
1269967 |
12.07 |
0.000 |
Residual |
28 |
2945733 |
105205 |
||
Total |
30 |
5485667 |
Explanation of Solution
Calculation: To perform the regression analysis to predict
Step 1: Open the Minitab worksheet.
Step 2: Go to Stat > Regression > Regression.
Step 3: Select “
Step 4: Go to graph and select residual versus fits.
Step 5: Click “OK.”
The estimated regression equation is
with
Conclusion: Since the P-value is less than 0.05, the result is significant. The variation in the variable
To test: A regression to predict the
Answer to Problem 44E
Solution: The regression equation is
with
The ANOVA is given below:
Degrees of freedom |
Sum of Squares |
Mean sum of squares |
F-statistic |
P-value |
|
Regression |
3 |
4618997 |
1539666 |
47.97 |
0.000 |
Residual |
27 |
866669 |
32099 |
||
Total |
30 |
5485667 |
Explanation of Solution
Calculation: To perform the regression analysis to predict
Step 1: Open the Minitab worksheet.
Step 2: Go to Stat > Regression > Regression.
Step 3: Select “
Step 4: Go to graph and select residual versus fits.
Step 5: Click “OK.”
The estimated regression equation is
with
Conclusion: Since the P-value is less than 0.05, the result is significant. The variation in the variable
To test: A regression to predict the
Answer to Problem 44E
Solution: The regression equation is
with
The ANOVA is given below:
Degrees of freedom |
Sum of Squares |
Mean sum of squares |
F-statistic |
P-value |
|
Regression |
2 |
4581607 |
2290804 |
70.95 |
0.000 |
Residual |
28 |
904060 |
32288 |
||
Total |
30 |
5485667 |
Explanation of Solution
Calculation: To perform the regression analysis to predict
Step 1: Open the Minitab worksheet.
Step 2: Go to Stat > Regression > Regression.
Step 3: Select “
Step 4: Go to graph and select residual versus fits.
Step 5: Click “OK.”
The estimated regression equation is
with
Conclusion: Since the P-value is less than 0.05, the result is significant. The variation in the variable
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Chapter 11 Solutions
INTRO.TO PRAC.OF STATISTICS (W/SAPLING)
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