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EDF 5400

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Back to bivariate correlation and regression... Correlations ... Bivariate Normal Distribution... Y scores normally distributed for any given X, and vice versa ... – PowerPoint PPT presentation

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Title: EDF 5400


1
EDF 5400
  • Albert OosterhofJune 5 and 7, 2001

2
3-dimensional scatter plots. Supplement 10
3
3-dimensional scatter plots. Supplement 10
4
Multiple regression.
  • Y bX a
  • Y b1X1 b2X2 a
  • Y b1X1 b2X2 b3X3 a
  • Multiple regression with SPSS...

5
Back to bivariate correlation and regression...
6
Correlations between...
  • pretest and posttest?
  • pretest and estimated posttest?
  • pretest and residual?

7
Explained and Unexplained Components of Variance
What variability in weight is explained versus
not explained by variability in height?
8
Explained and Unexplained VarianceSupplement 10
9
Proportion 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?

10
Proportion 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)

11
The Bivariate Normal Distribution(Textbook, pp.
118-120)
12
The Bivariate Normal Distribution(Textbook, pp.
118-120)
  • Frequency is vertical axis

13
The Bivariate Normal Distribution(Textbook, pp.
118-120)
  • Frequency is vertical axis
  • How shape on X and Y axes changes with magnitude
    of correlation

14
Characteristics 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)

15
Spearman Rank-Order Correlation(Supplement, page
12)
16
Spearman Rank-Order Correlation(Supplement, page
12)
17
Spearman 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

18
Correlation and Covariance(Textbook, p. 112)
19
Correlation and Covariance(Textbook, p. 112)
  • What is covariance
  • Effect on covariance of standard deviation and
    correlation

20
Correlation defined in terms of
Covariance(Textbook, p. 112)
21
Using Deviation Score Notation(Textbook, p. 112)
22
Example Using Covariance to Compute the
Correlation Coefficient(Supplement, page 12)
23
Covariance later becomes important with variance
of totaled scores or difference scores
24
What level of scaling is required with Pearson
product-moment correlation?
25
What level of scaling is required with Pearson
product-moment correlation?
  • Correlation has been defined in terms of
  • z-scores
  • standard deviation and covariance
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