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 0.73520.7352 R Square 0.54050.5405 Adjusted R Square 0.52050.5205 Standard Error 2131.18202131.1820 Observations 4949 ANOVA dfdf SSSS MSMS F� Significance F� Regression 22 245,793,126.4218245,793,126.4218 122,896,563.2109122,896,563.2109 27.058227.0582 1.7E-081.7E-08 Residual 4646 208,929,085.5374208,929,085.5374 4,541,936.64214,541,936.6421 Total 4848 454,722,211.9592454,722,211.9592 Coefficients Standard Error t� Stat P-value Lower 95%95% Upper 95%95% Intercept 14268.6823614268.68236 2,521.08442,521.0844 5.65975.6597 0.0000009340.000000934 9194.00279194.0027 19,343.362119,343.3621 Education (Years) 2352.26982352.2698 337.1115337.1115 6.97776.9777 0.000000010.00000001 1673.69951673.6995 3030.84013030.8401 Experience (Years) 832.2096832.2096 391.3987391.3987 2.12622.1262 0.038884710.03888471 44.364944.3649 1620.05431620.0543 Step 2 of 2 : How much would you expect your salary to increase if you stayed at the company for another year?

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 0.73520.7352 R Square 0.54050.5405 Adjusted R Square 0.52050.5205 Standard Error 2131.18202131.1820 Observations 4949 ANOVA dfdf SSSS MSMS F� Significance F� Regression 22 245,793,126.4218245,793,126.4218 122,896,563.2109122,896,563.2109 27.058227.0582 1.7E-081.7E-08 Residual 4646 208,929,085.5374208,929,085.5374 4,541,936.64214,541,936.6421 Total 4848 454,722,211.9592454,722,211.9592 Coefficients Standard Error t� Stat P-value Lower 95%95% Upper 95%95% Intercept 14268.6823614268.68236 2,521.08442,521.0844 5.65975.6597 0.0000009340.000000934 9194.00279194.0027 19,343.362119,343.3621 Education (Years) 2352.26982352.2698 337.1115337.1115 6.97776.9777 0.000000010.00000001 1673.69951673.6995 3030.84013030.8401 Experience (Years) 832.2096832.2096 391.3987391.3987 2.12622.1262 0.038884710.03888471 44.364944.3649 1620.05431620.0543 Step 2 of 2 : How much would you expect your salary to increase if you stayed at the company for another year?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

See similar textbooks

Multiple R	0.73520.7352
R Square	0.54050.5405
Adjusted R Square	0.52050.5205
Standard Error	2131.18202131.1820
Observations	4949

	dfdf	SSSS	MSMS	F�	Significance F�
Regression	22	245,793,126.4218245,793,126.4218	122,896,563.2109122,896,563.2109	27.058227.0582	1.7E-081.7E-08
Residual	4646	208,929,085.5374208,929,085.5374	4,541,936.64214,541,936.6421
Total	4848	454,722,211.9592454,722,211.9592

	Coefficients	Standard Error	t� Stat	P-value	Lower 95%95%	Upper 95%95%
Intercept	14268.6823614268.68236	2,521.08442,521.0844	5.65975.6597	0.0000009340.000000934	9194.00279194.0027	19,343.362119,343.3621
Education (Years)	2352.26982352.2698	337.1115337.1115	6.97776.9777	0.000000010.00000001	1673.69951673.6995	3030.84013030.8401
Experience (Years)	832.2096832.2096	391.3987391.3987	2.12622.1262	0.038884710.03888471	44.364944.3649	1620.05431620.0543

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