SNHU MAT 240 Module 4 Project One Applied Statistics Southern New Hampshire University

Median Housing Price Prediction Model for D. M. Pan National Real Estate Company 1 Report: Median Housing Price Prediction Model for D. M. Pan National Real Estate Company Maleka Monono Southern New Hampshire University Introduction This report predicts the median listing price based on the median square footage using linear regression, graphs, tables, and a sample to product an analysis. Using linear regression is most appropriate when predicting the strength and trend of a set of data. For example, when determine how much the square footage affects the listing price. One variable the (predictor variable) is used to predict and the other variable (response variable) we are trying to predict. The median square feet is our predictor and the median listing price is our response. To determine the median listing price, we need to use the median square footage.