An executive in the home construction industry is interested in
how house size (House) is influenced by family income (Income),
family size (Size), and education of the head of household
(School). House size is measured in hundreds of square feet, income
is measured in thousands of dollars, and education is in years. The
executive randomly selected 50 families and ran the multiple
regression. Excel output is provided below:
Regression Statistics | |
Multiple R | 0.865 |
R Square | 0.748 |
Adjusted R Square | 0.726 |
Standard Error | 5.195 |
Observations | 50 |
df | SS | MS | F | Signif F | |
Regression | 3 | 3605.7736 | 1201.9245 | 45.5340 | 0.0000 |
Residual | 46 | 1214.2264 | 26.3962 | ||
Total | 49 | 4820.0000 |
Coeff | Std Error | t Stat | P-value | |
Intercept | -1.6335 | 5.8078 | -0.281 | 0.7798 |
Income | 0.4485 | 0.1137 | 3.9545 | 0.0003 |
Size | 4.2615 | 0.8062 | 5.286 | 0.0001 |
School | -0.6517 | 0.4319 | -1.509 | 0.1383 |
Use the output shown above to answer the following
questions.
Question 1. Which of the explanatory variables in the model are significant?
Income, Size, SchoolIncome, School Income, SizeSize, School
Question 2. For a family of size 6 with a head of household earning an annual income of $85,600 with an education of 13 years, what is the predicted house size (in hundreds of square feet)?
24.8811.43 53.8615.15
Question 3. One family in the sample had a head-of-household with an education of 16 years and who provided the sole annual family income of $100,000; the family size was 10. The family owned a home with an area of 7,000 square feet (House = 70.00). What is the residual (in hundreds of square feet) for this data point?
2.525.40 -2.52-5.407.40
Question 4. Suppose the executive wants to test whether the coefficient on School is significantly different from 0. What is the value of the relevant t-statistic?
0.77985.286 3.9545-1.5090.1383
Question 1. Which of the explanatory variables in the model are significant?
Income, Size
Question 2. For a family of size 6 with a head of household earning an annual income of $85,600 with an education of 13 years, what is the predicted house size (in hundreds of square feet)?
53.86
Question 3. One family in the sample had a head-of-household with an education of 16 years and who provided the sole annual family income of $100,000; the family size was 10. The family owned a home with an area of 7,000 square feet (House = 70.00). What is the residual (in hundreds of square feet) for this data point?
-5.40
Question 4. Suppose the executive wants to test whether the coefficient on School is significantly different from 0. What is the value of the relevant t-statistic?
-1.509
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