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If a researcher investigates how income and health relate to happiness, they face a confound because income and health are correlated. By using a multiple regression analysis that includes both as predictor variables, the researcher can statistically control for one while examining the other. This determines whether the part of income unrelated to health predicts happiness, and whether the part of health unrelated to income predicts happiness.

Example of Multiple Regression: Income, Health, and Happiness

In a study investigating how income and health relate to happiness, what is the primary reason for including both income and health as predictor variables in a multiple regression analysis?

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