PSYC 3500 Study Guide - Quiz Guide: Univariate Distribution, Dependent And Independent Variables, Joint Probability Distribution

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29 Mar 2021
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PSY 3500: Correlation & Regression
Study Guide
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Univariate distribution - We focus on one variable in time.
Bivariate distribution - Statistics related to the relationship between two variables.
Correlation - A statistic that times whether not to distribution/variables are related;
specifies the nature ( + or -) or degree of the relationship.
Requires pairs of the scores for each participant.
Regression - A process in which we can predict values of one variable from values of
another variable; takes a correlation one step further by adding in a line of best fit.
Range of r - -1 - +1
If r is a positive number - You have a positive correlation.
As one variable increases the other variable increases.
If r is a negative number - You have a negative correlation.
As one of able decreases the other variable decreases.
If r equals zero - We have no linear relationship between two variables.
Scatterplot - How we graph scores of bivariate frequency distributions.
Interpreting r - The larger the absolute value of r the larger the correlation
Weak - r=.10
Medium / moderate - r=.30
Large / strong - r=.50
Lower third - r<.20
Middle third - r=.20 - .30
Upper third - r>.30
What does r not tell us? - R does not imply a percent of association
R=.8 is not two times the effect of an r=.4
Why are correlations useful? - Prediction
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