1. Developing and Understanding of Real Estate Prices As you are aware, many fac

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1. Developing and Understanding of Real Estate Prices
As you are aware, many fac

1. Developing and Understanding of Real Estate Prices
As you are aware, many factors (i.e., variables) have an impact on determining the price of a house. A few
well-known of these factors are size of the house (square feet), location, lot size, type of heating system, living
area, number of bathrooms and many more, as seen depicted in the datafile from a random sample of houses
for sale obtained from the Zillow listing of from North Florida. For your convenience, the data is seen in the
Excel template to easy your computation and analysis.
You are asked to study the data to inform a group of investors interested in buying a number of houses and
making recommendations to other buyers. It is clear that you can do quite a number of multiple regression
analyses to derive many insights from the data. However, for the sake of simplicity, please answers the
following questions.
a. Run a data analysis to derive multiple regression model to determine house price based on the following
most common five (5) factors, namely, Lot Size (given in acres) and Age, Land Value, Living Area, and # of
Rooms. Provide your ANOVA table and the key significant information (i.e., findings), and your interpretation
and recommendations.
b. Do you find any abnormalities with your model; Yes, or No? Write a brief paragraph (at least three to five
sentences to explain/justify your answer. Please be specific.
c. What interpretation would you attribute the Land Value factor?

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