1 Consider this regression analysis output table. SUMMARY OUTPUT Dependent Variable: Monthly Bill ($) Regression Statistics Multiple R 0.6748 R square 0.4553 Adjusted R Square 0.4213 Standard Error 39.51 Observations 35 ANOVA df SS MS F Significance f Regression 2 4.18E+04 2.09E+04 13.37 0.0001 Residual 32 5.00E+04 1.56E+03 Total 34 9.17E+04 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 209.98 29.13 7.21 0.0000 150.65 269.31 Average Monthly Temperature (degrees F) -1.98 0.39 -5.08 0.0000 -2.78 -1.19 # of Family Members 5.16 5.76 0.90 0.3769 -6.57 16.88 An electric company wants to analyze the effects of the average monthly temperature (in degrees F) and the typical number of family members living in a home during the month on monthly electric bills. Based on the regression analysis, what is the expected monthly bill when the average monthly temperature is 32 degrees F and the typical number of family members living in a home during the month is three? $58.89 $162.10 $288.82 $396.16