MAT 240 Project One

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School

Southern New Hampshire University *

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Course

240

Subject

Economics

Date

Jan 9, 2024

Type

docx

Pages

5

Uploaded by BrigadierKuduMaster186

Report
Median Housing Price Prediction Model for D. M. Pan National Real Estate Company 1 Report: Housing Price Prediction Model for D. M. Pan National Real Estate Company Amiee Sizemore Southern New Hampshire University
Median Housing Price Model for D. M. Pan National Real Estate Company 2 Introduction Describe the report: D. M. Pan National Real Estate Company has requested that we create a house pricing model that will predict house values for sales in 2019. The CEO plans to use this data to make decisions about the square footage as a real estate listing price benchmark. In my report, I will compare housing costs and its relationship to square footage. Data Collection S ampling the data: I generated 50 random house data sets by using Excel's "=rand()" function, and then I randomly rearranged each row using the Data tab's sorting options. To collect my final data, I selected the first 50 rows that were generated. Sampling the data: In the scatter plot below, "X" stands for square footage (the predictors) and "Y" for listing price (the response). Scatterplot: A linear regression model provides a deeper understanding of the relationships between two variables. The scatterplot should show a fairly random pattern, if appropriate. While the predictor variable (x) is fixed (non-random), the response variable (y) is a random variable. The scatterplot shows a weak, but positive correlation due to the random and positive pattern. This shows that while one variable increases, so does the other. 1,000 2,000 3,000 4,000 5,000 - 100,000 200,000 300,000 400,000 500,000 600,000 700,000
Median Housing Price Model for D. M. Pan National Real Estate Company 3 Data Analysis Histogram: Histogram: Summary statistics: Interpret the graphs and statistics: The results in the data analysis support the theory that the listing price of homes will increase with the square footage amount. The mean listing
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