Human Capital Management Company ABC wishes to predict the annual salary of employees to prepare the budget in the coming years. Data was collected from 40 employees to develop a regression model to predict the employees annual salary using their years with the company (Years), their starting salary (Starting), and their Gender (Male = 0, Female = 1). The partial computer results are shown below:

ANOVA
	df	SS	MS	F
Regression	3	4334682510
Residual	36	4056901131
Total	39	8391583641
	Coefficients	Standard Error	t Stat
Intercept	27946.57894	4832.438706	5.783121245
Years	1665.251558	425.0829092	3.917474737
Starting	0.266374185	0.12610443	2.112330112
Gender	-3285.541043	5617.145392	-0.584912943

(a) What is the regression equation.

(b) In testing the null hypothesis that the regression equation is not significant

at the 0.05 level, what is the appropriate conclusion?

(c) In testing the significance of the partial regression coefficient associated with the Years variable at the 0.05 level, what is the appropriate conclusion?.

(d) In testing the significance of the partial regression coefficient associated with the Starting variable at the 0.05 significance level, what is the appropriate conclusion?

(e) In testing the significance of the partial regression coefficient associated with the Gender variable at the 0.05 significance level, what is the appropriate conclusion?

(f) For a male employee with 5 years of experience and a starting salary of $30,000, what is the approximate 95% confidence interval for his annual salary? (give formula and t-value)