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Aloha, You are consulting for a large real estate firm. You have-(Answered)

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Aloha,


You are consulting for a large real estate firm.? You have been asked to construct a model that can predict listing prices based on square footages for homes in the city you?ve been researching.? You have data on square footages and listing prices for 100 homes.?


Please Help!! Thank you in advance





Real Estate Regression Exercise

 

QNT/351 Version 5

 


 

1

 


 

University of Phoenix Material

 

Real Estate Regression Exercise

 

Directions: Use the real estate data you used for your Week 2 learning team assignment. Analyze the data and explain your answers.

 

You are consulting for a large real estate firm. You have been asked to construct a model that can predict

 

listing prices based on square footages for homes in the city you?ve been researching. You have data on

 

square footages and listing prices for 100 homes.

 

1.

 


 

Which variable is the independent variable (x) and which is the dependent variable (y)?

 


 

2. Click on any cell. Click on Insert?Scatter?Scatter with markers (upper left).

 

To add a trendline, click Tools?Layout?Trendline?Linear Trendline

 

Does the scatterplot indicate observable correlation? If so, does it seem to be strong or weak?

 

In what direction?

 


 

1

 


 

Click on Data?Data Analysis?Regression?OK. Highlight your data (including your two headings) and input the correct columns into Input Y Range and Input X Range, respectively. Make

 

sure to check the box entitled ?Labels?.

 

(a) What is the Coefficient of Correlation between square footage and listing price?

 


 

(b) Does your Coefficient of Correlation seem consistent with your answer to #2 above?

 

Why or why not?

 


 

(c) What proportion of the variation in listing price is determined by variation in the square

 

footage? What proportion of the variation in listing price is due to other factors?

 


 

(d) Check the coefficients in your summary output. What is the regression equation relating

 

square footage to listing price?

 


 

Copyright ? 2016 by University of Phoenix. All rights reserved.

 


 

Real Estate Regression Exercise

 

QNT/351 Version 5

 


 

2

 


 

(e) Test the significance of the slope. What is your t-value for the slope? Do you conclude

 

that there is no significant relationship between the two variables or do you conclude that

 

there is a significant relationship between the variables?

 


 

(f) Using the regression equation that you designated in #3(d) above, what is the predicted

 

sales price for a house of 2100 square feet?

 


 

Copyright ? 2016 by University of Phoenix. All rights reserved.

 


 

 

Paper#9256730 | Written in 27-Jul-2016

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