Directions:
Run the appropriate regression that utilizes all of your explanatory variables of interest (Reminder: Multiple regression is used when the response variable is quantitative and Logistic regression is used when the response variable is binary, categorical). Interpret your regression output.
Sample Submission:
- Example of how to write results for Multiple Regression: After adjusting for potential confounding factors (list them) major depression (Beta=1.34, p=.0001) was significantly and positively associated with number of nicotine dependence symptoms.
- Example of how to write results for Logistic Regression: After adjusting for potential confounding factors (list them) major depression (O.R. 4.0, CI 2.94-5.37) was significantly and positively associated with the likelihood of meeting criteria for nicotine dependence.