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 0.534 R Square 0.285 Adjusted R Square 0.247 Standard Error 4791.473 Observations 100 ANOVA df SS MS F Significance F Regression 5 859571711.8 1.72E+08 7.488 5.940E-06 Residual 94 2158071843 22958211 Total 99 3017643555 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 3637.638 2700.353 1.347 0.1812 -1723.976 8999.252 Annual Income ($1000) 108.876 19.008 5.728 1.216E-07 71.135 146.617 Household Size 285.883 218.539 1.308 0.1940 -148.032 719.797 Education -200.021 320.557 -0.624 0.5342 -836.494 436.451 TV Hours -3.683 28.451 -0.129 0.8973 -60.175 52.808 Age -10.82 46.632 -0.232 0.817 -103.41 81.769 Which of the independent variables are significantly related to annual charges at the .05 level of significance