Question: For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).

For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same). SUMMARY OUTPUT Regression Statistics Multiple R 0.732 R Square 0.536 Adjusted R Square 0.511 Standard Error 4451.652 Observations 100 ANOVA df SS MS F Significance F Regression 5 2148222488 429644497.6 21.680 2.246E-14 Residual 94 1862816975 19817201.86 Total 99 4011039463 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 528.896 2512.847 0.210 0.8338 -4460.421 5518.213 Annual Income ($1000) 139.220 15.531 8.964 2.936E-14 108.382 170.058 Household Size 821.824 232.404 3.536 0.0006 360.381 1283.266 Education -1104.740 299.596 -3.687 0.0004 -1699.595 -509.885 TV Hours 20.638 27.201 0.759 0.4499 -33.371 74.646 Age -8.312 45.476 -0.183 0.8554 -98.607 81.982 What is the 95% confidence interval estimate of the change in annual charges for a unit increase in the age of the customer? Assume that all other independent variables remain constant

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