A researcher interviews 50 employees of a large manufacturer and collects data on each worker’s hourly wage (Wage), years of higher education (EDUC), experience (EXPER), and age (AGE). The entire data set, labeled Hourly_Wage, can be found on the text website.

a. Estimate: Wage = β0 + β1EDUC + β2EXPER + β3AGE +
.

b. Are the signs as expected?

c. Interpret the coefficient of EDUC.

d. Interpret the coefficient of determination.

e. Predict the hourly wage of a 40-year-old employee who has 5 years of higher education and 8 years of experience.

f. At the 5% significance level, are the explanatory variables jointly significant?

g. At the 5% significance level, are the explanatory variables individually significant?