One of the more commonly used analyses is multiple regression. Just as linear regression allows you to make predictions regarding an outcome variable on the basis of its relationship with a single predictor variable, you can make predictions about an outcome variable on the basis of its relationship with multiple predictor variables. For this assignment, you will compute a multiple regression using the data provided. You are asked to identify what factors best predict participant self-esteem. You will want to include the following variables in your model: self-esteem, happiness, frequency of smoking, religion, stress level, and general health.
Your focus will be to:
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