A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate a multiple regression model where:

Y = number of hours of television watched last week

X1 = age

X2 = number of years of education

X3 = income (in $1,000)

The computer output is shown below:

Predictor	Coeff.	St. Dev.	t
Constant	22.3	10.7	2.084
X1	0.41	0.19	2.158
X2	-0.29	0.13	-2.231
X3	-0.12	0.03	-4.00

R Square = 34.8%

ANOVA

Source of Variation	d.f.	SS	MS	F
Regression	3	227	75.667	3.730
Error	21	426	20.286
Total	24	653

Answer the following questions based on the above-provided information.

a) Complete the following multiple regression equation (2 marks):

Estimated Y =

b) Interpret the meaning of the coefficient of determination (4 marks)

c) Interpret the meaning of the slope coefficients for X1and X2 (4 marks).

d) Write down another potential independent variable that could be included in the analysis (2 marks).

e) Calculate the number of hours of television watched last week for a 37 years old viewer, with four years of education and an annual income of $60,000. (2 marks)

f) Is the overall model significant at the 5% level of significance. What does this finding mean? (no need to show the hypothesis testing steps, only provide the interpretation required)(4 marks)

g) which regression coefficients are significant at the 5% level of significance. What does this finding mean? (no need to show the hypothesis testing steps, only provide the interpretation required) (4 marks)