In each module, you will be learning about different statistical functions in R. You will apply these functions to specific data sets, creating models that can be used to understand and solve real-world problems. You will gain practice creating models, reporting and interpreting their statistics, evaluating their significance, and using the models to make predictions.
Note: Begin working on the readings and the problem set early each week. This will help make sure that you are prepared for the weekly discussion.
In this activity, you will explore a second order regression model that contains quantitative and qualitative variables. Then you will be asked to create your own second order regression models and write a mini-report based on your findings.
You will submit your completed problem set report as a Word document. Use 11-point Calibri font and one-inch margins. You must use the equation editor where appropriate.
You will also submit the HTML file containing the outputs of your R scripts from the Jupyter Notebook. Review the Jupyter Notebook in Codio Tutorial to help you with this task.
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