Consider the following output of a multiple regression analysis relating annual salary to years of education and years of work experience

Consider the following computer output of a multiple regression analysis relating annual salary to years of education and years of work experience. Regression Statistics Multiple R 0.7393 R Square 0.5465 Adjusted R Square 0.5268 Standard Error 2109.9016 Observations 49 ANOVA df SS MS F Significance F Regression 2 246,727,337.6003 123,363,668.8002 27.7117 1.3E-08 Residual 46 204,777,498.3997 4,451,684.7478 Total 48 451,504,836.0000 Coefficients Standard Error * Stat P-value Lower 95 % Upper 95 % Intercept 14243.05114 2,495.9107 5.7066 0.000000795 9219.0435 19,267.0588 Education (Years) 2357.5794 333.7454 7.0640 0.000000007 1685.7848 3029.3740 Experience (Years) 830.8237 387.4905 2.1441 0.037342926 50.8458 1610.8016 Step 1 of 2: What would be your expected salary with no education and no experience