STAT 502 – Assignment #3
Coverage:
KKMN Chapter 89
Name:
____________________________
SCORE:
____ of 40
Homework Problems—These should be done individually!
Please note that HW problems generally do not require any SAS coding.
#1.
(6 points) KKMN Problem 8.03 as stated.
Please note that SSY and SST are the same thing; you
should not use SAS for this problem.
#2.
(4 points) KKMN Problem 8.04 as stated.
#3.
(7 points) For 36 observations, a response Y, and three variables X
1
, X
2
, and X
3
were measured.
The SST = 4410 and SSE = 465.
Answer the following questions.
a.
Determine the ANOVA table for the regression of Y on X
1
, X
2
, and X
3
.
b.
Determine the R
2
for the model in part a.
Based on that value, comment on whether the three
predictors appear to be related to the response variable.
c.
Conduct the Ftest from the ANOVA table, making sure to accurately state your hypotheses
and draw an appropriate conclusion in the context of the problem.
#4.
(8 points) Residential real estate prices depend, in part, on property size and number of bedrooms.
The house size X1 (in hundreds of square feet), number of bedrooms X2, and house price Y (in
thousands of dollars) of a random sample of houses in West Lafayette were observed.
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 Fall '08
 Staff
 Statistics, Regression Analysis, Prediction interval, house price

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