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Write down the estimated equation with estimated intercept and slope parameters for each independent variable. Write down the interpretation of each estimated coefficient in word?
- Write down the estimated equation with estimated intercept and slope parameters for each independent variable.
- Write down the interpretation of each estimated coefficient in word? What does it mean?
- Which estimated coefficients are statistically significant? Which one are not statistically significant?
- What is value of R2 for the estimated model?
- How do you interpret the value of R2 ?
- Write down the t-ratio for all estimated slope parameters. What does it mean when t-ratio has a small or big value?
SUMMARY OUTPUT Regression Statistics Multiple R 0.925 R Square 0.855 Adjusted R Square 0.839 Standard Error 2374.842 Observations 52.000 ANOVA df SS MS F Significance F Regression 5.000 1526295573.004 305259114.601 54.125 0.000 Residual 46.000 259434284.765 5639875.756 Total 51.000 1785729857.769 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 11410.147 1081.052 10.555 0.000 9234.101 13586.192 9234.101 13586.192 sx 1241.792 885.560 1.402 0.168 -540.747 3024.332 -540.747 3024.332 rk 5586.181 663.967 8.413 0.000 4249.685 6922.678 4249.685 6922.678 yr 482.860 91.718 5.265 0.000 298.242 667.478 298.242 667.478 dg -1331.644 992.854 -1.341 0.186 -3330.156 666.868 -3330.156 666.868 yd -128.791 75.582 -1.704 0.095 -280.928 23.347 -280.928 23.347
| SUMMARY OUTPUT | |||||||||
| Regression Statistics | |||||||||
| Multiple R | 0.925 | ||||||||
| R Square | 0.855 | ||||||||
| Adjusted R Square | 0.839 | ||||||||
| Standard Error | 2374.842 | ||||||||
| Observations | 52.000 | ||||||||
| ANOVA | |||||||||
| df | SS | MS | F | Significance F | |||||
| Regression | 5.000 | 1526295573.004 | 305259114.601 | 54.125 | 0.000 | ||||
| Residual | 46.000 | 259434284.765 | 5639875.756 | ||||||
| Total | 51.000 | 1785729857.769 | |||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | ||
| Intercept | 11410.147 | 1081.052 | 10.555 | 0.000 | 9234.101 | 13586.192 | 9234.101 | 13586.192 | |
| sx | 1241.792 | 885.560 | 1.402 | 0.168 | -540.747 | 3024.332 | -540.747 | 3024.332 | |
| rk | 5586.181 | 663.967 | 8.413 | 0.000 | 4249.685 | 6922.678 | 4249.685 | 6922.678 | |
| yr | 482.860 | 91.718 | 5.265 | 0.000 | 298.242 | 667.478 | 298.242 | 667.478 | |
| dg | -1331.644 | 992.854 | -1.341 | 0.186 | -3330.156 | 666.868 | -3330.156 | 666.868 | |
| yd | -128.791 | 75.582 | -1.704 | 0.095 | -280.928 | 23.347 | -280.928 | 23.347 | |
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Statistics For Engineers And Scientists
Authors: William Navidi
3rd Edition
9780073376332
