MAT 240 Module 4 Project One PDF

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Median Housing Price Prediction Model for D. M. Pan National Real Estate Company

Report: Median Housing Price Prediction Model for D. M. Pan National Real Estate Company

Poppy Hyre Southern New Hampshire University

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Median Housing Price Model for D. M. Pan National Real Estate Company

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Introduction The purpose of this report is to prepare an analysis report to determine the square footage usage for the listing prices of homes and how the square footage is used to determine the price of a home for sale.

Data Collection I selected a region of approximately 50 counties and generated a simple selection where my response is the median listing prices of Y value and X value is the median square feet.

Median Listing Price (Y)

median listing price $500,000 $450,000 $400,000 $350,000 $300,000 $250,000 $200,000 $150,000 $100,000 $50,000 $0 500

f(x) = 176.57 x − 116549.63 R² = 0.6

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Median Square feet(X)

Data Analysis The data set for the linear regression shows how the relationship between the variable of X is shown as median square foot and Y is the median listing price, which the scatter plot is used to draw in the points that represent the house price and size for the counties that I selected for this assignment.

Median Housing Price Model for D. M. Pan National Real Estate Company

The slope in this graph shows an increase in square footage of a house which causes the listing price to increase.

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Median Housing Price Model for D. M. Pan National Real Estate Company

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Median Listing Price (Y)

median listing price $500,000 $450,000 $400,000 $350,000 $300,000 $250,000 $200,000 $150,000 $100,000 $50,000 $0 500

f(x) = 176.57 x − 116549.63 R² = 0.6

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Median Square feet(X)

The Line of Best Fit Listing price = 176.57(Square footage) -116550 The square footage increases the listing price of the home. For every square foot added the prices goes up $176.57.

Conclusions In general, the data shows that the bigger the square footage, the higher the cost of the home will be....