Question: Dependent Variable: CONSUMP Method: I most Squares Sample: 9/01/1959 12/01/2021 Included observations: 250 Variable Coefficient Std. Error t-Statistic Prob. C -6534.219 568.5885 -11.49200 0.0000 INCOME

observations: 250 Variable Coefficient Std. Error t-Statistic Prob. C -6534.219 568.5885 -11.49200

Dependent Variable: CONSUMP Method: I most Squares Sample: 9/01/1959 12/01/2021 Included observations: 250 Variable Coefficient Std. Error t-Statistic Prob. C -6534.219 568.5885 -11.49200 0.0000 INCOME 0.745987 0.002041 365.4932 0.0000 R-squared 0.998147 Mean dependent var 175379.9 Adjusted R-squared 0.998139 S.D. dependent var 100766.0 S.E. of regression 4346.419 Akaike info criterion 19.60006 Sum squared resid 4.69E+09 Schwarz criterion 19.62823 Log likelihood -2448.007 Hannan-Quinn criter. 19.61140 F-statistic 133585.3 Durbin-Watson stat 0.841168 Prob(F-statistic) 0.000000\fDependent Variable: LOG(CONSUMP) Method: Least Square- Sample: 9/01/1959 12/01/2021 Included observations: 250 Variable Coefficient Std. Error t-Statistic Prob. C -0.802784 0.043495 -18.45690 0.0000 LOG(INCOME) 1.037620 0.003550 292.2915 0.0000 R-squared 0.997106 Mean dependent var 11.89540 Adjusted R-squared 0.997094 S.D. dependent var 0.620533 S.E. of regression 0.033452 Akaike info criterion -3.949456 Sum squared resid 0.277517 Schwarz criterion -3.921284 Log likelihood 495.6820 Hannan-Quinn criter. -3.938118 F-statistic 85434.33 Durbin-Watson stat 1.318039 Prob(F-statistic) 0.000000og (Consumption Blog (Incomet) + ut

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