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In part 1 of the course project, you will consider a question or decision and begin to apply a predictive analysis approach to that decision. In this first part of the project, you will focus on identifying independent variables that may influence outcomes.
In part 2 of the course project, you will define how values of independent variables relate to the variable of interest. You’ll build a regression model and consider whether the regression equation accurately captures the relationships between the independent variables and the dependent variable.
In part 3 of the course project, you will apply these techniques to the regression model you created in Part Two of the course project. When you complete this project part, you should have a refined regression model.
In part 4 of the course project, you synthesize your findings in a concise and minimally technical argument for the validity of your model.
Complete all parts in the attached course project document
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