Applied Regression and Analysis of
Variance
Lecture 5
Regression with K Predictors
Comparing Regression Models
Step 1: Multiple Regression Model with K IV
A. The Population Model
Y=0+ 1X1+2X2+ kXk +e
Applied Regression and ANOVA
Lecture 4
Multiple Regression with Two Predictors
1
Why Multiple Regression?
1.
Better prediction/explanation by adding another variables. In
essence we will reduce error
Applied Regression and Analysis of
Variance
Lecture 3
Partial and Semi-Partial Correlations
Semi-Partial and Partial Correlation
The semi-partial correlation, rY(X1.X2) , is the correlation between Y
Applied Regression & ANOVA
Lecture 2
Simple Regression
Best Fitting Line
Best fit line is chosen such
that the sum of the squared
(why squared?) distances of
the points (Yis) from the line is
minimize
EDEP 604 (PSY 612) Applied Regression and Analysis of Variance
Assignment 1 (15 points)
Name:
Show all of your calculations and work.
1. Answer the following questions using the data below. Y is the d