Short Answer

Suppose you are designing a study to test whether a person's physical health predicts happiness even when accounting for their socioeconomic status (measured via income). Apply your knowledge of multiple regression to state the specific predictors you would enter into the regression model and what the regression coefficient for physical health will specifically indicate.

Question: Suppose you are designing a study to test whether a person's physical health predicts happiness even when accounting for their socioeconomic status (measured via income). Apply your knowledge of multiple regression to state the specific predictors you would enter into the regression model and what the regression coefficient for physical health will specifically indicate.

Sample answer: The predictor variables entered into the multiple regression model should be both income and physical health. The regression coefficient for physical health will indicate whether physical health predicts happiness after statistically controlling for income, representing the relationship between the part of health unrelated to income and happiness.

Key points:

  • Specify income and physical health as the predictor variables.
  • Specify happiness as the outcome/dependent variable.
  • State that the coefficient for health represents its prediction of happiness after controlling for income.

Rubric: The response must specify entering both income and physical health as predictor variables in the regression model. It must also apply the concept of statistical control by stating that the coefficient for physical health represents its relationship with happiness while controlling for income (or the relationship of the portion of health unrelated to income).

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Updated 2026-05-27

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Research Methods in Psychology - 4th American Edition @ KPU

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