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 
0.7345 
R Square 
0.5395 
Adjusted R Square 
0.5195 
Standard Error 
2134.9715 
Observations 
49 
ANOVA 

df 
SS 
MS 
F 
Significance F 

Regression 
2 
245,644,973.9500 
122,822,486.9750 
26.9460 
1.8E08 
Residual 
46 
209,672,760.0092 
4,558,103.4785 

Total 
48 
455,317,733.9592 
Coefficients 
Standard Error 
t Stat 
Pvalue 
Lower 95% 
Upper 95% 

Intercept 
14271.51879 
2,525.5672 
5.6508 
0.000000963 
9187.8157 
19,355.2219 
Education (Years) 
2351.3035 
337.7109 
6.9625 
0.00000001 
1671.5267 
3031.0803 
Experience (Years) 
832.8612 
392.0947 
2.1241 
0.039069201 
43.6155 
1622.1069 
Step 1 of 2:
What would be your expected salary with no education and no experience?
Step 2 of 2:
How much would you expect your salary to increase if you had one more year of education?
the regression equation from the given table is
ans 1 )
expected salary with no education and no experience will be
expected salary = 14271.519
ans 2 )
Expect your salary to increase if you had one more year of education is
Expect salary to increase if you had one more year of education is 16622.819
Get Answers For Free
Most questions answered within 1 hours.