In: Statistics and Probability
SUMMARY OUTPUT |
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Regression Statistics |
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Multiple R |
0.195389 |
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R Square |
0.038177 |
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Adjusted R Square |
0.037333 |
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Standard Error |
36578.71 |
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Observations |
1142 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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Regression |
1 |
6.05E+10 |
6.05E+10 |
45.2492 |
2.74E-11 |
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Residual |
1140 |
1.53E+12 |
1.34E+09 |
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Total |
1141 |
1.59E+12 |
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Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
Intercept |
17779.38 |
3518.846 |
5.052617 |
5.07E-07 |
10875.24 |
24683.53 |
10875.24 |
24683.53 |
X Variable 1 |
522.0407 |
77.60665 |
6.726752 |
2.74E-11 |
369.7728 |
674.3086 |
369.7728 |
674.3086 |
Income using age |
in f you are expected the predicted value but here use given the output by considering only Age is independent variable.