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 0.7357 R Square 0.5412 Adjusted R Square 0.5213 Standard Error 2128.8575 Observations 49 ANOVA df SS MS F Significance F 122,948,379.2778 27.1287 1.7E-08 Regression 2 245,896,758.5555 Total Residual 46 46 208,473,570.9955 48 454,370,329.5510 4,532,034.1521 Coefficients Standard Error t Stat P-value Lower 95 % Upper 95 % Intercept Education (Years) 14265.71682 2352.8476 2,518.3346 Experience (Years) 832.0973 336.7438 390.9718 5.6647 0.000000918 6.9871 0.00000001 2.1283 0.038700983 9196.5722 19,334.8615 1675.0175 3030.6777 45.1119 1619.0827 Step 2 of 2: How much would you expect your salary to increase if you had one more year of education?

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 0.7357 R Square 0.5412 Adjusted R Square 0.5213 Standard Error 2128.8575 Observations 49 ANOVA df SS MS F Significance F 122,948,379.2778 27.1287 1.7E-08 Regression 2 245,896,758.5555 Total Residual 46 46 208,473,570.9955 48 454,370,329.5510 4,532,034.1521 Coefficients Standard Error t Stat P-value Lower 95 % Upper 95 % Intercept Education (Years) 14265.71682 2352.8476 2,518.3346 Experience (Years) 832.0973 336.7438 390.9718 5.6647 0.000000918 6.9871 0.00000001 2.1283 0.038700983 9196.5722 19,334.8615 1675.0175 3030.6777 45.1119 1619.0827 Step 2 of 2: How much would you expect your salary to increase if you had one more year of education?

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 8E

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