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 |
21928 | 2438 |
17356 | 2455 |
18214 | 1871 |
15652 | 1063 |
43957 | 5715 |
33631 | 2567 |
15131 | 2260 |
16698 | 1824 |
18277 | 2010 |
16038 | 1438 |
15198 | 1337 |
36089 | 3049 |
31008 | 2843 |
42044 | 3411 |
14414 | 1454 |
38940 | 4057 |
25329 | 3939 |
22907 | 2505 |
16152 | 3547 |
29213 | 2835 |
Taxes | Size |
21,928 | 2,438 |
17,356 | 2,455 |
⋮ | ⋮ |
29,213 | 2,835 |
a. Estimate the sample regression equation that
enables us to predict property taxes on the basis of the size of
the home. (Round your answers to 2 decimal
places.)
TaxesˆTaxes^ = + Size.
b. Interpret the slope coefficient.
As Property Taxes increase by 1 dollar, the size of the house increases by 6.85 ft.
As Size increases by 1 square foot, the property taxes are predicted to increase by $6.85.
c. Predict the property taxes for a
1,300-square-foot home. (Round coefficient estimates to at
least 4 decimal places and final answer to 2 decimal
places.)
TaxesˆTaxes^
rev: 12_08_2018_QC_CS-150875
Size X | Taxes Y | X * Y | |||
2438 | 21928 | 53460464 | 5943844 | 480837184 | |
2455 | 17356 | 42608980 | 6027025 | 301230736 | |
1871 | 18214 | 34078394 | 3500641 | 331749796 | |
1063 | 15652 | 16638076 | 1129969 | 244985104 | |
5715 | 43957 | 251214255 | 32661225 | 1932217849 | |
2567 | 33631 | 86330777 | 6589489 | 1131044161 | |
2260 | 15131 | 34196060 | 5107600 | 228947161 | |
1824 | 16698 | 30457152 | 3326976 | 278823204 | |
2010 | 18277 | 36736770 | 4040100 | 334048729 | |
1438 | 16038 | 23062644 | 2067844 | 257217444 | |
1337 | 15198 | 20319726 | 1787569 | 230979204 | |
3049 | 36089 | 110035361 | 9296401 | 1302415921 | |
2843 | 31008 | 88155744 | 8082649 | 961496064 | |
3411 | 42044 | 143412084 | 11634921 | 1767697936 | |
1454 | 14414 | 20957956 | 2114116 | 207763396 | |
4057 | 38940 | 157979580 | 16459249 | 1516323600 | |
3939 | 25329 | 99770931 | 15515721 | 641558241 | |
2505 | 22907 | 57382035 | 6275025 | 524730649 | |
3547 | 16152 | 57291144 | 12581209 | 260887104 | |
2835 | 29213 | 82818855 | 8037225 | 853399369 | |
Total | 52618 | 488176 | 1446906988 | 162178798 | 13788352852 |
Equation of regression line is
b = 6.85
a =( 488176 - ( 6.846 * 52618 ) ) / 20
a = 6397.78
Equation of regression line becomes
As Size increases by 1 square foot, the property taxes are predicted to increase by $6.85.
When X = 1300
= 6397.776
+ 6.846 X
= 6397.776
+ 6.846 * 1300
=
15297.58