Discussion on Simple and Multiple Regression:

Regression is an essential way for management to make business decisions. This is the study of relationships between one or more variables. One compares dependent variables (y) and independent variables (x) to attempt to describe and predict the best possible outcomes. Multiple regression uses more than one independent variable (x), which is a better predictor for examples like what affects the sale price of a house is not only affected by historical prices but also by comparing crime statistics, comparable selling prices, school district, and other factors. This makes multiple regression a little more practical than simple regression.

Provide and briefly discuss an example of regression and how a company or investor can use it in the real world using a simple or multiple regression model.