Using data from 50 workers, a researcher estimates Wage = ₀+ ₁Education + ₂Experience +₃Age + , where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table.

	Coefficients	Standard Error	tStat	p-value
Intercept	7.87	4.09	1.93	0.0603
Education	1.44	0.34	4.24	0.0001
Experience	0.45	0.14	3.16	0.0028
Age	0.01	0.08	0.14	0.8920

a-1.	What is the point estimate for 1?
	1.44 0.45

a-2.	Interpret this value.
	As Education increases by 1 unit, Wage is predicted to increase by 1.44 units. As Education increases by 1 unit, Wage is predicted to increase by 0.45 units. As Education increases by 1 unit, Wage is predicted to increase by 0.45 units, holding Age and Experience constant. As Education increases by 1 unit, Wage is predicted to increase by 1.44 units, holding Age and Experience constant.

a-3.	What is the point estimate for 2?
	0.45 1.44

a-4.	Interpret this value.
	Same interpretation by using 1.44 or -0.01 As Experience increases by 1 unit, Wage is predicted to increase by 0.45 units, holding Age and Education constant.

b.	What is the sample regression equation?(Round your answer to 2 decimal places.)

y-hat =+Education +Experience Age

c.	What is the predicted value for Age = 30, Education = 4 and Experience = 3.(Round your answer to 2 decimal places.)

y-hat