Regression Statistics Multiple R R Square Adjusted R Square Standard Error Obser

Question

Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.91019725 0.82845904 0.81702297 354.559762 17 ANOVA df MS Significance F 1 9106958.38 9106958.38 72.4426715 3.9823E-07 Regression Residual Total 15 1885689.37 125712.625 16 10992647.7 Coefficients Standard ErrortStat P-value Lower 95% Upper 95% Lower 95.0% Intercept Real Disposable Income (X) 1557.75419 1870.82404 0.83265671 0.88438378 0.1039067 8.51132607 3.9823E-07 0.66291189 1.10585566 0.66291189 0.418099 -2429.81286 5545.32123 -2429.81286

Explanation / Answer

By doing a regression between Houselod consumption per person and disposable income we get

1.105856

Hence the 95% confidence interval is

Population Household Consumption Household Consumption/person Disposable income 58886100 913492 0.015512863 0.01605423 59113000 946355 0.016009253 0.016624871 59365700 982574 0.016551207 0.017026044 59636700 1017474 0.017061206 0.017270976 59950400 1049784 0.017510876 0.017637097 60413300 1082097 0.017911569 0.017903458 60827100 1101846 0.018114393 0.018158946 61319100 1131865 0.018458604 0.018594957 61823800 1125470 0.018204478 0.018389326 62260500 1088615 0.017484842 0.018570153 62759500 1096462 0.017470853 0.018270668 63285100 1085891 0.017158715 0.017809674 63705000 1105308 0.017350412 0.018204332 64105700 1126255 0.017568719 0.01835882 64596800 1150513 0.017810681 0.018428359 65110000 1181868 0.018151866 0.019303963 65648100 1218393 0.018559456 0.019152984

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