Course Topics

This short course will cover simple and multiple linear regression analysis, with examples in SPSS and SAS.  The course will discuss some useful concepts in linear regression analysis such as:

  1. How to use the F-test to determine if your predictor variables have a statistically significant relationship with your outcome/response variable?
  2. What are the assumptions for linear regression analysis and what you should do to meet these assumptions?
  3. Why adjusted R2 is smaller than R2 and what these numbers mean when comparing between several models.
  4. For which predictors are the regression coefficients significantly different than zero?
  5. What is the difference between regression and ANOVA and when are they equivalent?
  6. How can you select the best model?