model 2

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MODEL 2 - SUMMARY OUTPUT Regression Statistics Multiple R 0.982684844 R Square 0.965669503 Adjusted R Square 0.957086879 Standard Error 13206.35913 Observations 6 ANOVA df SS MS F Significance F Regression 1 19623416648 19623416648 112.5144804 0.000447126 Residual 4 697631685.5 174407921.4 Total 5 20321048333 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -482820.0027 76377.48209 -6.321496722 0.003203925 -694877.889 -270762.1164 -694877.889 -270762.1164 Population 1.258453158 0.118640466 10.60728431 0.000447126 0.929054415 1.5878519 0.929054415 1.5878519 RESIDUAL OUTPUT Observation Predicted Y Residuals 1 253375.0945 -18375.09449 2 276027.2513 4772.748672 3 284836.4234 16663.57657 4 347759.0813 4840.91869 5 385512.676 -5512.676037 6 404389.4734 -2389.473401

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Trip Generation Regression Model 2 for GDP population and period for

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Page 1: model 2

MODEL 2 - SUMMARY OUTPUT

Regression Statistics

Multiple R 0.982684844

R Square 0.965669503

Adjusted R Square 0.957086879

Standard Error 13206.35913

Observations 6

ANOVA

df SS MS F Significance F

Regression 1 19623416648 19623416648 112.5144804 0.000447126

Residual 4 697631685.5 174407921.4

Total 5 20321048333

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept -482820.0027 76377.48209 -6.321496722 0.003203925 -694877.889 -270762.1164 -694877.889 -270762.1164

Population 1.258453158 0.118640466 10.60728431 0.000447126 0.929054415 1.5878519 0.929054415 1.5878519

RESIDUAL OUTPUT

Observation Predicted Y Residuals

1 253375.0945 -18375.09449

2 276027.2513 4772.748672

3 284836.4234 16663.57657

4 347759.0813 4840.91869

5 385512.676 -5512.676037

6 404389.4734 -2389.473401

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