Question 1 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard 0.999666 0.999333 0.999307 Error Observations 39.51247 54 ANOVA Significance F Df S MS F Regression...





A multiple linear regression model is constructed using ‘consumption’ as the dependent variable and the other two as independent variables (Real Income X1 and Real Wealth as X2). State the population model equation.





Question 1<br>SUMMARY OUTPUT<br>Regression Statistics<br>Multiple R<br>R Square<br>Adjusted R<br>Square<br>Standard<br>0.999666<br>0.999333<br>0.999307<br>Error<br>Observations<br>39.51247<br>54<br>ANOVA<br>Significance<br>F<br>Df<br>S<br>MS<br>F<br>Regression<br>Residual<br>2 1.19E+08 59656970 38211.39<br>1.03E-81<br>51<br>79622.99<br>1561.235<br>Total<br>53<br>1.19E+08<br>Standard<br>Upper<br>95%<br>Lower<br>95.0%<br>Upper<br>95.0%<br>Coefficients<br>Error<br>t Stat<br>P-value<br>Lower 95%<br>15.44438<br>Intercept<br>Reall income<br>Real Wealth<br>-9.71491<br>12.53213<br>-0.7752 0.441801<br>-34.8742 15.44438<br>-34.8742<br>0.726461<br>0.01399<br>51.92536<br>7.96E-46<br>0.698374 0.754548<br>0.698374 0.754548<br>0.036411<br>0.002589<br>14.06532<br>3.48E-19<br>0.031214 0.041608 0.031214 0.041608<br>

Extracted text: Question 1 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard 0.999666 0.999333 0.999307 Error Observations 39.51247 54 ANOVA Significance F Df S MS F Regression Residual 2 1.19E+08 59656970 38211.39 1.03E-81 51 79622.99 1561.235 Total 53 1.19E+08 Standard Upper 95% Lower 95.0% Upper 95.0% Coefficients Error t Stat P-value Lower 95% 15.44438 Intercept Reall income Real Wealth -9.71491 12.53213 -0.7752 0.441801 -34.8742 15.44438 -34.8742 0.726461 0.01399 51.92536 7.96E-46 0.698374 0.754548 0.698374 0.754548 0.036411 0.002589 14.06532 3.48E-19 0.031214 0.041608 0.031214 0.041608

Jun 01, 2022
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