For a study question the following information was gathered to
investigate the salary structure of classroom teachers. 3 factors that
affect a teachers salary are years of experience, principals rating,
and having a masters degree or not.

Salary(Y)       Years of exp.(X1)        Principals Rating(X2)    Masters(Y3)
21.1                   8                         35                   0
23.6                   5                         43                   0
19.3                   2                         51                   1
33.0                   15                        60                   1
28.6                   11                        73                   0
35.0                   14                        80                   1
32.0                   9                         76                   0
26.8                   7                         54                   1
38.6                   22                        55                   1
21.7                   3                         90                   1
15.7                   1                         30                   0
20.6                   5                         44                   0
41.8                   23                        84                   1
36.7                   17                        76                   0
28.4                   12                        68                   1
23.6                   14                        25                   0
31.8                   8                         90                   1
20.7                   4                         62                   0
22.8                   2                         80                   1
32.8                   8                         72                   0

*1 = Yes  0 = no.

What is the multiple regression equation for this problem?

Coefficients(a)
Model	 	Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta			
1	(Constant)	9.915	1.916		5.174	.000
	VAR00002	.899	.088	.799	10.258	.000
	VAR00003	.154	.031	.420	4.895	.000
	VAR00004	-.667	1.214	-.047	-.550	.590
a	Dependent Variable: VAR00001

ANOVA(b)
Model	 	Sum of Squares	df	Mean Square	F	Sig.
1	Regression	903.194	3	301.065	52.721	.000(a)
	Residual	91.368	16	5.711			
	Total	994.562	19				
a	Predictors: (Constant), VAR00004, VAR00002, VAR00003
b	Dependent Variable: VAR00001