A real estate builder wishes to determine how house size is influenced by family income, family size, and education of the head of household. House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. A computer output is shown below.

Regression Statistics

Multiple R

0.865

R Square

0.748

Adjusted R Square

0.726

Standard Error

5.195

Observations

50

ANOVA

df

SS

MS

F

Signif F

Regression

3

3605.7736

901.4434

33.4081

0.0001

Residual

46

1214.2264

26.9828

49

4820.0000

Coeff.

St.Error

t Stat

P-value

Intercept

-1.6335

5.8078

-0.281

0.7798

Family Income

0.4485

0.1137

3.9545

0.0003

Family Size

4.2615

0.8062

5.286

0.0001

Education

-0.6517

0.4319

-1.509

0.1383

Based on the result, what is the predicted house size (in hundreds of square feet) for an individual earning an annual income of 40 (which is measured in thousands of dollars), having a family size of 4, and having 13 years of education?

At 1% level of significance, which of the following variables can be removed without significantly hurting the model?

2.42

162.15

24.88

7.16

19.2

Group of answer choices

Both family income and family size

Education

None

Family income

Family size