In this project, you will collect data from real world to
construct a multiple regression model. The resulting model will be
used for a prediction purpose. For example, suppose you are
interested in “sales price of houses”. In a multiple regression
model, this is called a “response variable”. There are many
important factors that affect the prices of houses.
Those factors include size (square feet), number of bedrooms,
number of baths, age of the house, distance to a major grocery...