Question: 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

Consider the following computer output ofa multiple regression analysis relating annual

salary to years of education and years ofwork experience. Regression Statistics Multiple

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

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