In: Statistics and Probability
Florida reappraises real estate every year, and the county appraiser's Web site lists the current "fair market value" of each piece of property. Property usually sells for somewhat more than the apprasied market value. Here are the appraised market values and actual selling prices of condominium units sold in a beachfront building over a 9-month period (in thousand dollars).
Selling Price Appraised value Month Selling Price Apprasied value month
850 758 0 790 605.9 13
900 812.7 1 700 483.8 14
625 504 2 715 585.8 14
1075 956.7 2 825 707.6 14
890 747.9 8 675 493.9 17
810 717.7 8 1050 802.6 17
650 576.6 9 1325 1031.8 18
845 648.3 12 845 586.7 19
(a) Make a scatterplot. It appears that apprasied market value can be used to predict selling prices.
(b) Find the least-squares line for predicting selling price from apprasied value. Add this line to your scatterplot. Another unit in this building has appraised value $802,600. What do you predict that it will sell for?
A)
B)
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.927658384 | ||||
R Square | 0.860550077 | ||||
Adjusted R Square | 0.850589369 | ||||
Standard Error | 69.7298912 | ||||
Observations | 16 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 420072.1418 | 420072.1418 | 86.3944623 | 2.29278E-07 |
Residual | 14 | 68071.60817 | 4862.257726 | ||
Total | 15 | 488143.75 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 127.2704936 | 79.48916173 | 1.601104991 | 0.131670109 | -43.21680234 |
Appraised | 1.046612713 | 0.112601209 | 9.294862145 | 2.29278E-07 | 0.80510714 |
selling price ^ = 127.2705 + 1.0466* Appraised
when appraised value $802,600.
selling price = 127.2705 + 1.0466* 802600
= 967.27166