The following Stata output refersto a regression for the determinants of the annual salaries of employees in aparticular company. The variable definitions are as follows:


salary
=
salary in £000’s

years
=
number of yearsemployed with the company

male
=
1 if the employee is male, 0 if theemployee is female

. regress salary years male


Source |
SS
df
MS
Number of obs =
75
-------------+------------------------------
F(
2,
72) =
5.38

Model |
5963.56779
2
2981.7839

Prob > F
=
0.0066

Residual |
39871.8189
72
553.775262
R-squared
=
0.1301
-------------+------------------------------
Adj R-squared =
0.1059

Total |
45835.3867
74
619.397117
Root MSE

=
23.532

------------------------------------------------------------------------------

salary |
Coef.
Std. Err.
t
P>|t|
[95% Conf. Interval]
-------------+----------------------------------------------------------------


years |
.8375956
.2569314
3.26
0.002
.3254122
1.349779

male |
4.980036
5.512954
0.90
0.369
-6.009836
15.96991

_cons |
34.19693
4.860481
7.04
0.000
24.50774
43.88613
------------------------------------------------------------------------------


(a)
Interpret the following results from the Stata output:

(i)
Coefficients on years and male, andtheir t-statistics and p-values.

(ii)
R-squared and Adjusted R-squared.

(iii)
Root MSE (= standard error of theregression)

(iv)
The F-statistic.

(b)
What is the expected salary for a malewho has been employed by the company for 10 years?






本热        本人准备考试请教下大家那些数据说什么    还有这个公司男员工10后工资的趋向؟