MAT 240 Module Three Assignment Template (1)

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Southern New Hampshire University *

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240

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Economics

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Jan 9, 2024

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Housing Price Prediction Model for D.M. Pan Real Estate Company Kiera Ludlum Southern New Hampshire University

Median Housing Price Prediction Model for D.M. Pan National Real Estate Company 2 Module Two Notes Regression Equation y = 142.84x + 157564 Determine r R =0.967. the strength of the correlation would be considered strong since it is so close to 1. You can determine the direction of association between the variables by looking at the correlation, which is positive. When the square foot area of a home increases, the listing price increases as well. Examine the Slope and Intercepts When the square feet area is 0, the listing should be $157,564. No it would not make since because the house with the lowest square foot area is $354,800. R -squared Coefficient R= 0.936101997 The squared coefficient means the amount of variation in of the listing price that is explained by how much the square feet area is varying. Conclusions The square footage in my region is fairly different from that of homes in the national region. For every 100 square feet, the price goes up by $14,284. The graph could generally be used for any square footage data.

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