Author: Christine Farr


The final project for this course is the creation of a statistical regression report. Based on the knowledge obtained in this course and previous course work, you will examine the methodology used in building and performing regression diagnostics. You must select a statistical data source with approval of your instructor. You must collect data, perform regression diagnostics, and determine the most appropriate set of predictors. The project is divided into two milestones, which will be submitted at various points throughout the course to scaffold learning and ensure quality final submissions. These milestones will be submitted in Module Three and Module Seven.
To successfully complete this project, you will be expected to apply what you have learned in this course and should include several of the following course outcomes:
Construct multiple regression models, including first-order, second-order, and interaction models with both quantitative and qualitative variables
Assess whether a multiple regression model fits the sample data
Implement regression analysis in real-world problems from engineering, sociology, psychology, science, or business
Identify potential problems one may encounter when conducting regression analysis
Demonstrate how residuals may be used to detect departures from model assumptions

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