math 240 module 3-3 real estate revised (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 Kenyatta Dixon Southern New Hampshire University
Median Housing Price Prediction Model for D.M. Pan National Real Estate Company 2 Module Two Notes I used my resources and my last week’s assignment to complete this assignment for this week. I am not sure which information you needed me to post. Regression Equation y=94.927x +66224 Determine r r= 0.090132. And the correlation between the two variables is weak at best. The correlation between the two variables is weak because it is close to a negative 1. Examine the Slope and Intercepts According to my linear trend model there is no listing for solely land on or land only the plot. So therefore, we are unable to determine this because of the linear trend model that I am using. R -squared Coefficient The R squared coefficient is 0.8835. The r squared coefficient means the proportion of variation in listing price, that is explained by variations and square footage. Conclusions According to my linear trend model the square footage of my region is lower than of the national region or the United States for every 1,000 square feet. For every 1000 square feet, the price goes up to at least $100,000 according to my linear model. The square footage would also range for my graph would be 1000 feet to start up to 5200 square feet. According to the slope it ends at 5200 but can go up to 6000 square feet as well.
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