5/10 Question 5 of 7, Step 2 of 2 Correct 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 0.7372 R Square 0.5434 Adjusted R Square 0.5235 Standard Error 2120.6606 Observations 49 ANOVA df SS MS F Significance F Regression 2 246,191,336.3605 123,095,668.1803 27.3716 1.5E-08 Residual 46 206,871,255.7619 4,497,201.2122 Total 48 453,062,592.1224 Coefficients Standard Error Stat P-value Lower 95 % Upper 95 % Intercept 14262.17012 2,508.6381 5.6852 0.000000856 9212.5435 19,311.7967 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 1614.0311 Step 2 of 2: How much would you expect your salary to increase if you had one more year of education