SF = square feet of the house
PY: 0 = no pool, 1 = pool
BY: 0 = not made of bricks, 1 made of bricks
There are three neighborhoods N1, N2 and N3
y = house price
Regression Statistics |
Multiple R |
0.91 |
||||
R Square |
0.84 |
||||
Adjusted R Square |
0.83 |
||||
Standard Error |
20,949.15 |
||||
Observations |
301.00 |
||||
ANOVA |
|||||
df |
SS |
MS |
F |
Significance F |
|
Regression |
4.00 |
667,427,645,418.08 |
166,856,911,354.52 |
380.20 |
0.00 |
Residual |
296.00 |
129,904,621,849.66 |
438,866,965.71 |
||
Total |
300.00 |
797,332,267,267.74 |
|||
Coefficients |
Standard Error |
t Stat |
P-value |
||
Intercept |
28,988.78 |
6,408.55 |
4.52 |
0.00 |
|
SF |
90.83 |
2.38 |
38.22 |
0.00 |
|
PY |
14,254.45 |
2,445.07 |
5.83 |
0.00 |
|
N2 |
6,051.24 |
2,935.80 |
2.06 |
0.04 |
|
N3 |
12,600.61 |
2,923.76 |
4.31 |
0.00 |
A house with these x values would have an estimated sales price
of
No decimal places, no commas
X's
SF = 2,600
Brick = Y
Pool = N
Nieghborhood = 2
The regression equation is given by:
Now, for, the regression equation becomes,{Since there is no pool and the house is in neighbourhood N1}
which is the estimate sales price of the house.
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