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 |
21922 | 2446 |
17362 | 2521 |
18285 | 1732 |
15662 | 1039 |
43973 | 5633 |
33629 | 2523 |
15195 | 2163 |
16693 | 1938 |
18247 | 2061 |
16036 | 1267 |
15163 | 1306 |
36002 | 3034 |
31043 | 2880 |
42063 | 3376 |
14432 | 1491 |
38914 | 3943 |
25383 | 3930 |
22991 | 2390 |
16236 | 3511 |
29263 | 2828 |
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.)
Size (X) | Taxes (Y) | X * Y | X2 | Y2 | |
2446 | 21922 | 53621212 | 5982916 | 480574084 | |
2521 | 17362 | 43769602 | 6355441 | 301439044 | |
1732 | 18285 | 31669620 | 2999824 | 334341225 | |
1039 | 15662 | 16272818 | 1079521 | 245298244 | |
5633 | 43973 | 247699909 | 31730689 | 1933624729 | |
2523 | 33629 | 84845967 | 6365529 | 1130909641 | |
2163 | 15195 | 32866785 | 4678569 | 230888025 | |
1938 | 16693 | 32351034 | 3755844 | 278656249 | |
2061 | 18247 | 37607067 | 4247721 | 332953009 | |
1267 | 16036 | 20317612 | 1605289 | 257153296 | |
1306 | 15163 | 19802878 | 1705636 | 229916569 | |
3034 | 36002 | 109230068 | 9205156 | 1296144004 | |
2880 | 31043 | 89403840 | 8294400 | 963667849 | |
3376 | 42063 | 142004688 | 11397376 | 1769295969 | |
1491 | 14432 | 21518112 | 2223081 | 208282624 | |
3943 | 38914 | 153437902 | 15547249 | 1514299396 | |
3930 | 25383 | 99755190 | 15444900 | 644296689 | |
2390 | 22991 | 54948490 | 5712100 | 528586081 | |
3511 | 16236 | 57004596 | 12327121 | 263607696 | |
2828 | 29263 | 82755764 | 7997584 | 856323169 | |
Total | 52012 | 488494 | 1430883154 | 158655946 | 13800257592 |
Equation of regression line is Ŷ = a + bX
b = 6.8611
a =( Σ Y - ( b * Σ X) ) / n
a =( 488494 - ( 6.8611 * 52012 ) ) / 20
a = 6581.6957
Equation of regression line becomes Ŷ = 6581.6957 + 6.8611
X
When X = 1500
Ŷ = 6581.696 + 6.861 X
Ŷ = 6581.696 + ( 6.861 * 1500 )
Ŷ = 16873.20