Briefly discuss the relationship (positive or negative) between the dependent variable and each of the independent variables with significant coefficients. Are those relationship expected? If not, what can be the possible explanation for such unexpected results.

SUMMARY OUTPUT Real Disposable Income Regression Statistics Multiple R 0.959629219 Residual Plot R Square 0.920888238 2000 Adjusted R Square 0.916234605 1000 Standard Error 505.1838979 Residuals Observations 109 -1000.900 5000.000 10000.090 15000.000 -2000 ANOVA Real Disposable Income df SS MS F Significance F Regression 6 303015637.8 50502606.3 197.8858736 7.57516E-54 GDP Residual Plot Residual 102 26031498.61 255210.7707 Total 108 329047136.4 2000 1000 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Residuals ntercept 3435.143926 680.9038559 -5.044976462 1.98137E-06 -4785.713495 -2084.574356 -4785.713495 -2084.574356 0 5000000 10000000 15000060 20000000 Real Disposable Income 1.960209827 0.277368457 7.067169236 2.00743E-10 1.410050808 2.510368847 1.410050808 2.510368847 -1000 GDP -0.000936923 0.000229606 -4.080568219 8.93516E-05 -0.001392345 -0.0004815 -0.001392345 -0.0004815 -2000 Household networth 3.71656E-06 1.0654E-05 0.348842011 0.727926981 -1.74156E-05 2.48487E-05 -1.74156E-05 2.48487E-05 GDP Season 1 -16.26102805 136.2698895 -0.119329575 0.905248963 -286.5517077 254.0296516 -286.5517077 254.0296516 Season 2 4.789159389 137.9735054 0.034710718 0.972378251 -268.8806344 278.4589532 -268.8806344 278.4589532 Season 3 35.74828113 137.7616367 0.259493731 0.79577734 -237.5012721 308.9978344 -237.5012721 308.9978344 Household networth Residual Plot 2000 1000 RESIDUAL OUTPUT Residuals 0 -1000 010 50000000.0 100000000.0 150000000.0 Observation Predicted Revenue Residuals 788.2976542 -2000 -165.6976542 Household networth 811.0795882 -189.8795882 A W N P 815.7487288 -132.7487288 848.073241 -96.37324101 853.9319952 -82.53199521 881.4900176 -98.1900176 985.9312472 -155.2312472 8 1124.277342 -226.9773421