MAT 303 Module Five Problem Set Guidelines and Rubric Overview 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 a model, reporting and interpreting its statistics, evaluating its significance, and using it 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. Prompt In this activity, you will explore a logistic regression model that has been created for you. Then you will be asked to create your own logistic regression models, and write a mini-report based on your findings. Access the R scripts for this problem set by using the Jupyter Notebook link in Module Five. In your Jupyter Notebook, you have been given a set of steps that explains how to create a logistic regression model. Go through each step, examining the scripts and their output. If you are not sure how a specific script works or how to understand the output of a script, review the readings. Reach out