2/26/2007

Chapter 6 Multiple Regression I

• First-order model with two predictor variables (see p. 215)
• Interpretation of regression coefficients
• First-order model with p-1 predictor variables (see pp. 217-218)
• General linear regression model with qualitative predictor variables (see p. 219)
• Polynomial regression (see p. 219)
• General linear regression model with interaction effects (see p. 220)
• Coefficient of multiple determination (see p. 226)
• Inferences for regression parameters (see p. 227)
• Scatterplot matrix (see p. 232)
• Correlation matrix (see p. 233)
• Diagnostics (same as previous chapters)
• Example - Exercise 6.30 on p. 254 (see senic.sas)

We will begin discussing the Chapter 6 assignment in a problem session on Wednesday.