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Chapter |
Assignment |
Due |
| 5 |
To be done by hand, on paper: 5.1, 5.2
(Assignment) |
January 26, 2012 |
| 5 |
To be done by hand, on paper: 5.8,
5.10(Matrix A only) (Assignment) |
January 26, 2012 |
| 5 |
To be done using SAS Proc IML: 5.5, 5.11, 5.24
(Assignment) |
January 26, 2012 |
| 1 |
1.22 |
February 2, 2012 |
| 3 |
3.6abc, 3.15a, 3.16acde
Use NORMTEST macro for 3.6c & 3.16e |
February 7, 2012 |
| 6 |
6.5abcd, 6.6ab, 6.7, 6.8 |
February 7, 2012 |
| 7 |
7.3, 7.24 |
February 9, 2012 |
| 7 |
7.7, 7.8, 7.10, 7.27 |
February 9, 2012 |
| 8 |
8.6, 8.7a, 8.11, 8.25 |
February 14, 2012 |
| 9 |
Using the data from 9.10, and using only
the first order terms in the pool of potential
predictor variables, find the best model using each of the following:
a. All Possible Regressions (using R2
and Cp)
b. Backward Elimination
c. Forward Selection
d. Stepwise Regression
e. Maximum R2
Improvement |
February 14, 2012 |
| 10 |
10.5ab
Using the data from 10.9, use influence diagnostics to determine any influential observations
(R, INFLUENCE)
Using the data from 10.15,
determine the variance inflation factors and use the
matrix of variance proportions to assess the
presence of multicollinearity
(COLLIN, VIF) |
February 23, 2012 |
| |
Capstone Regression Homework
SAS code for inputting the Real
Estate data set |
March 6, 2012 |
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Midterm Exam
HDL.sas |
April 5, 2012 |
| 16 |
ANOVA using GLM and REG |
March 15, 2012 |
| 16, 17, 18 |
16.12
17.13abcde, 17.18ab
18.9a (using the residuals and also the studentized
residuals)
18.9b (use the results from the NORMTEST macro only)
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March 29, 2012 |
| 19 |
19.14, 19.15abcdf |
April 5, 2012 |
| 19 |
19.32 |
April 5, 2012 |
| 24 |
24.12a, 24.12b (assess normality)
24.13abcdeg
24.14 |
April 12, 2012 |
| 22 |
Using the data from 22.11, and fitting
model 22.3 (p. 921):
a. Test residuals for normality
b. Test for interaction between treatment factor and
covariate
c. If appropriate, test for relationship between
covariate and response variable
d. If appropriate, test for treatment effect.
e. If appropriate, make all pairwise comparisons
between treatment levels, using the Tukey procedure at the 95% level of
confidence. SAS code
producing solution |
April 12, 2012 |
| 21 |
21.7abc, 21.8acdef |
April 12, 2012 |
| 26 |
26.4, 26.5, 26.6 |
April 19, 2012 |
| |
Capstone ANOVA Homework |
April 19, 2012 |
| 27 |
27.6abc, 27.7abc, 27.9 |
April 24, 2012 |
| 27 |
27.13, 27.15 |
April 24, 2012 |
| 27 |
27.16, 27.17 |
April 24, 2012 |
| 14 |
14.13, 14.19abd(use Wald tests), 14.21ab, 14.31 |
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| Final Exam |
May 1, 2012 |
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