Question:
For the house sales data in Table 9.12 shows a regression analysis relating selling price to number of bedrooms
-
Report the prediction equation, and interpret the slope.
-
Using the sample slope and the standard deviations, find the correlation. Interpret its value.
-
Report r^2 and interpret the value.
-
Construct a 95% confidence intervals for β and interpret.
Table 9.12
|
variable
|
N
|
Mean
|
Std Dev
|
|
Price
|
100
|
155331
|
101262.2
|
|
Bedrooms
|
100
|
3
|
.651339
|
|
Source
|
DF
|
Sum of squares
|
Mean square
|
|
Model
|
1
|
1.575534E+11
|
1.575534E+11
|
|
Error
|
98
|
8.575962E+11
|
8750981211
|
|
Total
|
99
|
1.01515E+12
|
|
|
Root MSE 93547
|
R-Square .1552
|
|
Variable
|
Parameter estimate
|
Standard Error
|
t
|
Sig.
|
|
Intercept
|
-28412
|
44303
|
-.64
|
.5228
|
|
Bedrooms
|
61248
|
14435
|
4.24
|
‹.001
|
Price: $2.99
Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document
