Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

Is the number of square feet of living space a good predictor of a house's selling price? The following data show the square footage and

Is the number of square feet of living space a good predictor of a house's selling price? The following data show the square footage and selling price for fifteen houses in winston Salem, North Carolina (Zillow.com, April 5, 2015).

Size (1000s sq. ft )

1.26 3.02 1.99 0.91 1.87 2.63 2.60 2.27 2.30 2.08 1.12 1.38 1.80 1.57 1.45

Selling Price ($1000s)

117.5 299.9 139.0 45.6 129.9 274.9 259.9 177.0 175.0 189.9 95.0 82.1 169.0 96.5 114.9

  1. Develop a scatter diagram with square feet of living space as the independent variable and selling price as the dependent variable. what does the scatter diagram indicate about the relationship between the size of a house and the selling price?
  2. Develop the estimated regression equation that could be used to predict the selling price given the number of square feet of living space.
  3. At the .05 level, is there a significant relationship between the two variables?
  4. Use the estimated regression equation to predict the selling price of a 2000 square foot
  5. house in winston Salem, North Carolina.
  6. Do you believe the estimated regression equation developed in part (b) will provide
  7. a good prediction of selling price of a particular house in winston Salem, North
  8. Carolina? Explain.
  9. would you be comfortable using the estimated regression equation developed in part
  10. (b) to predict the selling price of a particular house in Seattle, washington? why or why not?

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Advanced Engineering Mathematics

Authors: Erwin Kreyszig

10th edition

470458364, 470458365, 978-0470458365

More Books

Students also viewed these Mathematics questions