Use the table and the given regression equation to answer the question
Compute the three sums of squares, SST, SSR, and SSE, using the defining formulas.
3 | -9 |
1 | 0 |
2 | -6 |
ŷ = 4 - 4.5x
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.981980506 | |||||||
R Square | 0.964285714 | |||||||
Adjusted R Square | 0.928571429 | |||||||
Standard Error | 1.224744871 | |||||||
Observations | 3 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 40.5 | 40.5 | 27 | 0.121038 | |||
Residual | 1 | 1.5 | 1.5 | |||||
Total | 2 | 42 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 4 | 1.870828693 | 2.13809 | 0.278509 | -19.7711 | 27.77113 | -19.7711 | 27.77113 |
X Variable 1 | -4.5 | 0.866025404 | -5.19615 | 0.121038 | -15.5039 | 6.503896 | -15.5039 | 6.503896 |
SST = 42
SSR =40.5
SSE = 1.5
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