Statistics Case Study Assignment

Ann Perkins, a realtor in Brownsburg, Indiana, would like to use estimates from a multiple
regression model to help prospective sellers determine a reasonable asking price for their homes.
She believes that the following four factors influence the asking price (Price) of a house:
1) The square footage of the house (SQFT)
2) The number of bedrooms (Bed)
3) The number of bathrooms (Bath)
4) The lot size (LTSZ) in acres
She randomly collects online listings for 50 single-family homes. The data file is in the
Blackboard “Case Study Indiana Real Estate Data File Excel” within the Case Study folder.
Requirements and associated point values:
Part 1 – Provide summary statistics (with Excel Data Analysis) by calculating the mean and
standard deviation on the asking price, square footage, the number of bedrooms, the number
of bathrooms, and the lot size. Explain each factor’s mean and standard deviation. What does
each of these summary statistics tell us.
A total of ten calculations 4 points each for a total of 40 points.
Part 2 – Estimate and interpret a multiple regression model where the asking price is the
response variable and the other four factors are the explanatory variables.
The end result should be a Excel Regression Output

Also provide the estimate model equation: Price =
A total of 40 points will be assigned to Part 2.
Part 3 – Interpret the resulting coefficient of determination.
A total of 20 points will be assigned to Part 3.
Part 4 – Write your findings in thorough, concise, and well-written report form. For an example
review and refer to other reports throughout your textbook. There is at least one at the end of
each chapter. Please note you are expected to use proper statistical terminology when
appropriate but remember you are writing for a group who may not be as knowledgeable about
statistics as you are. You must be sure they can understand your findings while also writing a
professional report.
A total of 50 points will be assigned to Part 4.
Part 5 – Prepare your report in a PowerPoint Presentation and record your presentation within
Relay according to the instructions provided in the Blackboard “PowerPoint Presentation Case
Study Information” located within the Case Study folder.
A total of 50 points will be assigned to Part 5.
The submission link to attach your Case Study Report, PowerPoint Presentation and Excel Data
Output Worksheet is in the same Case Study folder. You will record your PowerPoint
Presentation under “Student Recordings” within Knowmia (formerly Relay). Refer to the course
schedule for the Case Study due date. The case study is valued at a total of 200 points.