Title: EDF 5400
1EDF 5400
- Albert OosterhofJune 5 and 7, 2001
23-dimensional scatter plots. Supplement 10
33-dimensional scatter plots. Supplement 10
4Multiple regression.
- Y bX a
- Y b1X1 b2X2 a
- Y b1X1 b2X2 b3X3 a
- Multiple regression with SPSS...
5Back to bivariate correlation and regression...
6Correlations between...
- pretest and posttest?
- pretest and estimated posttest?
- pretest and residual?
7Explained and Unexplained Components of Variance
What variability in weight is explained versus
not explained by variability in height?
8Explained and Unexplained VarianceSupplement 10
9Proportion of Variance Explained and
Unexplainedr2 and 1-r2
- Questions
- On graph, what variance on Y is explained by
variance on X ? What variance is unexplained? - On the graph, where is standard error of estimate
illustrated? - On the graph, how can we describe the criterion
of least squares? - On the graph, what would we see if the
correlation increased or decreased?
10Proportion of Variance Explained and
Unexplainedr2 and 1-r2
- Not only height and weight
- Study time and test scores (r .7)
- GRE scores and grades (r .4)
- Boat registrations and manatee kills (r .9)
- Heights of husbands and wives (r .6)
11The Bivariate Normal Distribution(Textbook, pp.
118-120)
12The Bivariate Normal Distribution(Textbook, pp.
118-120)
- Frequency is vertical axis
13The Bivariate Normal Distribution(Textbook, pp.
118-120)
- Frequency is vertical axis
- How shape on X and Y axes changes with magnitude
of correlation
14Characteristics of Bivariate Normal Distribution
- Y scores normally distributed for any given X,
and vice versa - Relation between X and Y is linear (Y means for
various values of X fall in a straight line, and
vice versa) - Homoscedasticity (SD of Y values equal for any
given X, and vice versa)
15Spearman Rank-Order Correlation(Supplement, page
12)
16Spearman Rank-Order Correlation(Supplement, page
12)
17Spearman Rank-Order Correlation...(Supplement,
page 12)
- In contrast to product-moment correlation, is
sensitive only to rank order - Actually is a special case of product-moment
correlation
18Correlation and Covariance(Textbook, p. 112)
19Correlation and Covariance(Textbook, p. 112)
- What is covariance
- Effect on covariance of standard deviation and
correlation
20Correlation defined in terms of
Covariance(Textbook, p. 112)
21Using Deviation Score Notation(Textbook, p. 112)
22Example Using Covariance to Compute the
Correlation Coefficient(Supplement, page 12)
23Covariance later becomes important with variance
of totaled scores or difference scores
24What level of scaling is required with Pearson
product-moment correlation?
25What level of scaling is required with Pearson
product-moment correlation?
- Correlation has been defined in terms of
- z-scores
- standard deviation and covariance