1/27/2009
Inferences in Regression and Correlation Analysis (continued)
- Confidence
band for the entire regression line
- Example: Airfreight,

- Using SAS: See modification to airfreight.sas
- ANOVA
approach to regression
- General
Linear Test Approach
- Full model
- Reduced model
- Test stat:

- Coefficient
of Determination, R2
- Normal
Correlation Model and Bivariate Normal dist
- Correlation model
- Density function
- Marginals
- Conditionals
- Equivalence to normal error regression model
- Correlation:
- Pearson
- Formula
- Inferences about rho
1.
Testing
that rho=0
2.
Interval
estimation using the Fisher transformation
- Spearman
- Nonparametric correlation
- Procedure
1.
rank
within Y1 and Y2
2.
Pearson
correlation on ranks
Prepare the following problems for a Problem Session on Thursday:
2.4, 2.13, 2.23, 2.45(a), 2.51, 2.52
For #2.45, also answer this question: Does it make
sense to use a correlation model here rather than a normal error regression
model?