PS 225 Lecture 21. Relationships between 3 or More Variables. Relationships Between Multiple Variables. Three or more variables can be interrelated Confounding variables Example: Individuals given the medication Lipitor are more likely to die of a heart attack. Partial Correlation.
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PS 225Lecture 21
Relationships between 3 or More Variables
X causes changes in Y. Rxy and Rxy,z are similar.
Z has a relationship with both the independent and dependent variable. Rxy and Rxy,z are different
Z has a relationship with both the independent and dependent variable. Rxy and Rxy,z are different.
Last class we answered the following questions:
This class: Use SPSS to find the regression equation that best represents the relationship between age and hours of television a person watches. Treat years of education as a confounding variable.