autom

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.890008

R Square 0.792113

Adjusted R Square0.780564

Standard Error0.725914

Observations 20

ANOVA

df SS MS F Significance F

Regression 1 36.14129 36.14129 68.5857 1.49E-07

Residual 18 9.485114 0.526951

Total 19 45.6264

CoefficientsStandard Error t Stat P-value Lower 95% Upper 95%Lower 95.0%Upper 95.0%

Intercept -1.37033 0.388596 -3.52635 0.002411 -2.18674 -0.55392 -2.18674 -0.55392

X Variable 1 0.115803 0.013983 8.281649 1.49E-07 0.086425 0.14518 0.086425 0.14518

RESIDUAL OUTPUT

ObservationPredicted Y Residuals

1 1.212071 -0.20808

2 2.370097 -0.6677

3 2.868048 0.982711

4 0.030884 0.106846

5 3.528123 -0.24654

6 -0.65235 0.756593

7 3.80605 2.1811

8 1.652121 -0.25837

9 -0.17756 0.213624

10 3.284938 -0.04459

11 -0.43233 0.44964

12 2.624863 -1.12118

13 3.030172 -0.71555

14 0.262489 -0.07971

15 0.528835 0.104743

16 1.420516 -0.57269

17 2.115331 -0.20188

18 1.906887 -0.22224

19 0.73728 -0.26773

20 0.957305 -0.18901

Upper 95.0%

-2

-1

0

1

2

3

0 10 20 30 40 50 Re

sid

ual

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X Variable 1

X Variable 1 Residual Plot