Consider the following computer output ofa multiple regression analysis relating annual salary to years of education and years ofwork experience. Regression Statistics Multiple R 0.7372 R Square 0.5434 Adjusted R Square 0.5235 Standard Error 2120.6606 Observations 49 AN OVA (If S MS F Signicance F Regression 2 246.191.336.3605 123,095,668.1803 27.3716 1.5E08 Residual 46 206.871.255.7619 4,497,201.2122 Total 48 453.062.592.1224 Coefcients Standard Error r Stat Pvalue Lower 95 % Upper 95 % Intercept 14262.17012 2.508.638] 5.6852 0.000000856 9212.5435 19,3] 1.7967 Education (Years) 2354.9731 335.4472 7.0204 0.000000008 1679.7529 3030.1933 Experience (Years) 830.0759 389.4664 2.1313 0.038439839 46.1207 1614.031] Step 1 of2: What wou cl be your expected salary with no education and no experience