Exercise

# Logistic Regression

Construct a logistic regression predicting default based on parameters in the **mortData** data set.

Instructions

**100 XP**

Before you start building models, explore your workspace using **ls()**, and take a look at the variable **mortData**. Next, go ahead get the meta-data about the dataset, including the variables within it using **rxGetInfo()**.

After you have taken a look at the data, use **rxLogit()** to construct a logistic regression to predict mortgage default data.

The structure of a call to **rxLogit()** is very similar to the structure of **rxLinMod()**. The syntax is:

**rxLogit(formula, data, …)**

**formula**- The model specification.**data**- The dataset in which you would like to search for variables used in**formula****…**- Additional arguments.

Go ahead and use **rxLogit** in order to create a logistic regression object called **logitModel**, in which you predict default status from the varialbes corresponding to house age, year of the observation, credit card debt, credit score, and years employed. Use the **F()** function to make **year** a factor variable.

Make sure to use the **summary** function to look at the output.