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Unformatted text preview: sis of the data shows the following output. There
are 36 consecutive months of data, and the analysis includes the two marked points.
Bivariate Fit of Sales By Rate Summary of Fit
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts) 1691.5
36 Analysis of Variance
C. Total DF
35 Sum of Squares
151383885 Mean Square
2861061.6 F Ratio
Prob > F
0.0001* Parameter Estimates
-1201.36 Std Error
276.253 t Ratio
0.0001* 1. If the average mortgage rate in the region falls by 2 per cent, the fitted model predicts that
A. Sales will increase between about 650 and 1,755 units, with 95 per cent confidence.
B. Sales will increase between about 1,300 and 3,510 units, with 95 per cent confidence.
C. The average sale price will increase between about $1,300 and $3,510, with 95 per cent
D. Sales wil...
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This note was uploaded on 01/16/2014 for the course STAT 102 taught by Professor Shaman during the Fall '08 term at UPenn.
- Fall '08