Assessed Value Exhibit to be used with questions 60 through 64 (see next page as well).
Consider a model for predicting the assessed value from a sample of 15 houses based on the size of the house in thousands of square feet and whether or not the house has a fireplace.
Assessed Value Analysis |
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Regression Statistics |
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Multiple R |
0.900587177 |
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R Square |
0.811057264 |
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Adjusted R Square |
0.779566808 |
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Standard Error |
2.262595954 |
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Observations |
15 |
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ANOVA |
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df |
SS |
MS |
F |
Significance F |
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Regression |
2 |
263.7039146 |
131.8519573 |
25.75565321 |
4.54968E-05 |
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Residual |
12 |
61.4320854 |
5.11934045 |
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Total |
14 |
325.136 |
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Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
|
Intercept |
50.09048899 |
4.351657945 |
11.5106678 |
7.67943E-08 |
40.60904084 |
59.57193714 |
Size |
16.18583395 |
2.574441705 |
6.28712389 |
4.02437E-05 |
10.57660734 |
21.79506056 |
Fireplace |
3.852982483 |
1.241222689 |
3.10418309 |
0.009118854 |
1.148590566 |
6.5573744 |
In a test of the null hypothesis that β2 = 0, if α = .01 you would?
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