Statistics Report

A quantitative model for predicting the odds of defaulting mortgage payments

Introduction

The objecting of this analysis is to find a quantitative model to estimate the odds that a person will default on his/her mortgage. The variables that will be used as predictors are debt-income ratio, percentage they put on their down payment, the overall price of the home and their credit score.

For the purpose of the analysis, a dataset with five variables Success, DownPercent, Credit, DebtPercent, and Price and 215 cases will be used.

Methods

The dependent variable is Success, with 1 = No default, 2 = Default, and this is a categorical variable, which indicates that a logistic regression needs to be applied.

Price: $49.99

Solution: The downloadable solution consists of 54 pages, 1504 words and 4 charts.
Deliverable: Word Document