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 0.534 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

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