The University of Tennessee, Knoxville

Haslam College of Business at the University of Tennessee Dreamweaver Templates. Haslam College of Business at the University of Tennessee


Assignments

Homework Guidelines

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 orderterms 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 proportionsto 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
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)
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  
Final Exam    May 1, 2012

James Schmidhammer ~ 223 Stokely Management Center ~ Knoxville, TN ~ 37996 - 0525
Phone: 865-974-1735 ~ Fax: 865-974-2490 ~ Email:jls@utk.edu

 

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