For the house sales data in Table 9.12 shows a regression analysis relating selling price to number
Question: For the house sales data in Table 9.12 shows a regression analysis relating selling price to number of bedrooms
(a) Report the prediction equation, and interpret the slope.
(b) Using the sample slope and the standard deviations, find the correlation. Interpret its value.
(c) Report r^2 and interpret the value.
(d) 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
Answer: The solution file consists of 2 pages
Deliverables: Word Document
Deliverables: Word Document
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