Description
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note before you submit your report.]
Housing Price Prediction Model for D.M. Pan Real Estate Company
[Your Name]
Southern New Hampshire University
Median Housing Price Prediction Model for D.M. Pan National Real Estate Company
2
Module Two Notes
[Copy and paste any relevant information from your Module Two assignment here to
assist you in completing this assignment. This section is not graded and is only provided to help
you easily review Module Two assignment information while completing this assignment.]
Regression Equation
[Insert the regression equation for the line of best fit using the scatterplot from your
Module Two assignment.]
Determine r
[Determine r and what it means, including determining the strength of the correlation and
discussing how you determine the direction of the association between the two variables.]
Examine the Slope and Intercepts
[Draw conclusions from the slope and intercept in the context of this problem and
determine the value of only the land.]
R-squared Coefficient
[Explain what R-squared means in the context of this analysis.]
Conclusions
[Reflect on the relationship between square feet and sales price by addressing key
considerations such as the comparison between your selected region and overall homes in the
United States, as well as analyzing how the slope can help identify price changes, how the
regression equation can help identify appropriate listing prices, and what square footage ranges
the graph would be best used for.]
Summary Statistics
Listing
price ($)
Cost per
square
foot ($)
Square
feet
n
1,000
Mean
342,365
Median
318,000
Std. Dev.
125,914
Min
135,300
Q1
265,250
Q3
381,600
Max
987,600
1,000
169
166
41
71
139
191
344
1,000
2,111
1,881
921
1,101
1,626
2,215
6,516
This graph shows the frequency for listing price.
This graph shows the frequency for square feet.
Purchase answer to see full
attachment
