In: Statistics and Probability
7. 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 |
21,998 | 2,317 |
17,350 | 2,347 |
⋮ | ⋮ |
29,245 | 2,892 |
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 6.92 ft.
As Size increases by 1 square foot, the property taxes are predicted to increase by $6.92.
c. Predict the property taxes for a
1,800-square-foot home. (Round coefficient estimates to at
least 4 decimal places and final answer to 2 decimal
places.)
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ANSWER:
a.
X - Mx | Y - My | (X - Mx)2 | (X - Mx)(Y - My) |
-276.95 | -2424.4 | 76701.3025 | 671437.58 |
-246.95 | -7072.4 | 60984.3025 | 1746529.18 |
-824.95 | -6157.4 | 680542.5025 | 5079547.13 |
-1569.95 | -8778.4 | 2464743.003 | 13781649.08 |
3032.05 | 19527.6 | 9193327.203 | 59208659.58 |
-11.95 | 9251.6 | 142.8025 | -110556.62 |
-388.95 | -9263.4 | 151282.1025 | 3602999.43 |
-763.95 | -7725.4 | 583619.6025 | 5901819.33 |
-485.95 | -6149.4 | 236147.4025 | 2988300.93 |
-1354.95 | -8341.4 | 1835889.503 | 11302179.93 |
-1159.95 | -9303.4 | 1345484.003 | 10791478.83 |
517.05 | 11656.6 | 267340.7025 | 6027045.03 |
123.05 | 6621.6 | 15141.3025 | 814787.88 |
776.05 | 17593.6 | 602253.6025 | 13653513.28 |
-1049.95 | -10016.4 | 1102395.003 | 10516719.18 |
1386.05 | 14525.6 | 1921134.603 | 20133207.88 |
1314.05 | 965.6 | 1726727.403 | 1268846.68 |
-259.95 | -1472.4 | 67574.0025 | 382750.38 |
948.05 | -8260.4 | 898798.8025 | -7831272.22 |
298.05 | 4822.6 | 88833.8025 | 1437375.93 |
SS: 23319062.95 | SP: 161367018.4 |
Sum of X = 51879
Sum of Y = 488448
Mean X = 2593.95
Mean Y = 24422.4
Sum of squares (SSX) = 23319062.95
Sum of products (SP) = 161367018.4
Regression Equation = ŷ = bX + a
b = SP/SSX =
161367018.4/23319062.95 = 6.92
a = MY - bMX = 24422.4 -
(6.92*2593.95) = 6472.37
ŷ = 6.92X + 6472.37
b. Here slope is 6.92
So answer here is
c. For x=1800, ŷ = (6.92*1800) + 6472.37=18928.37
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