In: Statistics and Probability
The accompanying table shows a portion of a data set that refers to the property taxes owed by a homeowner (in $) and the size of the home (in square feet) in an affluent suburb 30 miles outside New York City.
Taxes | Size |
21913 | 2357 |
17307 | 2531 |
18258 | 1906 |
15606 | 1061 |
43962 | 5639 |
33679 | 2520 |
15197 | 2165 |
16733 | 1825 |
18211 | 2139 |
16061 | 1268 |
15194 | 1261 |
36018 | 3060 |
31036 | 2869 |
42098 | 3448 |
14377 | 1574 |
38934 | 3919 |
25341 | 3949 |
22969 | 2514 |
16241 | 3505 |
29254 | 2840 |
a. Estimate the sample regression equation that enables us to predict property taxes on the basis of the size of the home.
TaxesˆTaxes^ = ____ + _____ Size.
c. Predict the property taxes for a 1,500-square-foot home. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.)
Taxesˆ_______
Size X | Taxes Y | X * Y | |||
2357 | 21913 | 51648941 | 5555449 | 480179569 | |
2531 | 17307 | 43804017 | 6405961 | 299532249 | |
1906 | 18258 | 34799748 | 3632836 | 333354564 | |
1061 | 15606 | 16557966 | 1125721 | 243547236 | |
5639 | 43962 | 247901718 | 31798321 | 1932657444 | |
2520 | 33679 | 84871080 | 6350400 | 1134275041 | |
2165 | 15197 | 32901505 | 4687225 | 230948809 | |
1825 | 16733 | 30537725 | 3330625 | 279993289 | |
2139 | 18211 | 38953329 | 4575321 | 331640521 | |
1268 | 16061 | 20365348 | 1607824 | 257955721 | |
1261 | 15194 | 19159634 | 1590121 | 230857636 | |
3060 | 36018 | 110215080 | 9363600 | 1297296324 | |
2869 | 31036 | 89042284 | 8231161 | 963233296 | |
3448 | 42098 | 145153904 | 11888704 | 1772241604 | |
1574 | 14377 | 22629398 | 2477476 | 206698129 | |
3919 | 38934 | 152582346 | 15358561 | 1515856356 | |
3949 | 25341 | 100071609 | 15594601 | 642166281 | |
2514 | 22969 | 57744066 | 6320196 | 527574961 | |
3505 | 16241 | 56924705 | 12285025 | 263770081 | |
2840 | 29254 | 83081360 | 8065600 | 855796516 | |
Total | 52350 | 488389 | 1438945763 | 160244728 | 13799575627 |
Equation of regression line is
b = 6.916
a =( 488389 - ( 6.9163 * 52350 ) ) / 20
a = 6315.952
Equation of regression line becomes
When X = 1500
= 6315.952
+ 6.916 X
= 6315.952
+ 6.916 * 1500
=
16689.95