The commercial division of a real estate firm is conducting a
regression analysis of the relationship between x, annual
gross rents (in thousands of dollars), and y, selling
price (in thousands of dollars) for apartment buildings. Data were
collected on several properties recently sold and the following
computer output was obtained.
The regression equation is | |||
Y = 20.0 + 7.26 X | |||
Predictor | Coef | SE Coef | T |
Constant | 20.000 | 3.2213 | 6.21 |
X | 7.260 | 1.3625 | 5.29 |
Analysis of Variance | |||
SOURCE | DF | SS | |
Regression | 1 | 41,587.9 | |
Residual Error | 7 | ||
Total | 8 | 51,984.5 |
a. How many apartment buildings were in the sample?
b. Write the estimated regression equation (to
2 decimals if necessary).
ŷ = + x
c. What is the value of sb1 (to 4 decimals)?
d. Use the F statistic to test the significance of the relationship at a .05 level of significance.
Compute the F test statistic (to 2 decimals).
What is the p-value? Use Table 1 of Appendix B.
p-value is
What is your conclusion?
e. Predict the selling price of an apartment
building with gross annual rents of $50,000 (to 1 decimal). |
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