Multiple Regression

Multiple Regression

1. Types of Multiple Regression

   • Standard Multiple Regression
   • Sequential Multiple Regression
     • The Point of Entry

2. General Linear Model

   • Regression Equation
     • Y-Intercept
     • B - Unstandardised Regression Coefficient
     • Beta - Standarised Coefficient
       • Z - Scores
     • r - Pearson's /Zero Order Correlation
     • sr - Semi-Partial Correlation

3. Multiple Correlation Coefficient

   • Squared Multiple Correlation (R2)
     • Variance
   • The Multiple Correlation (R)
   • Residual
   • Adjusted R2

4. Preliminary Considerations

   • Theoretical Issues
     • No Cause/Effect
     • Independence of Variables
   • Practical Issues
     • Power
     • Effect Size
     • Alpha Level
     • Number of IV
     • Multicollinearity
     • Singularity
   • General Linear Model

5. Questions Answered

   • Combined Predictive Utility
   • Importance of IVs
   • Uniqueness
   • Improvement in Prediction