Lab 6: Chi-square & Binary Logistic Regression
1. Open the file Smoke.sav. This is a file of questionnaire
data on symptoms and smoking status.
2. In the Smoke.sav data calculate the age of the subject in
decimal fractions of years.
3. In the Smoke.sav data calculate a new variable SMOKE
(NeverSmokers = 0, Current Smokers = 1).
4. Calculate the means and standard deviations of age of the
four male and female by SMOKE subcategories in the
sample. Split file by sex and smoke.
5. Test the hypothesis that there is a significant difference in
the frequency of never smokers and current smokers
between the sexes.
6. Using Binary Logistic Regression determine the odds
ratios of sex and smoking status (SMOKE) separately and
together for each of the three symptoms. Run one analysis
for each symptom, entering sex alone, and then another
with smoke alone as covariates. Finally, run one analysis
for each symptom, entering sex and smoke simultaneously
as covariates. Note the difference in odds ratios when
covariates are entered separately or together.
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BPK 304W – Measurement & Inquiry in Kinesiology
Summer 2015