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Housing Price Prediction Model for D.M. Pan National Real Estate Company
Module Two Notes - The Pattern
The report aims to offer valuable information that can assist prospective homebuyers, sellers, and real estate agents in understanding the latest market trends for their upcoming activities. The emphasis on square footage as a predictor is because this factor determines the appropriate listing price for a house.
Regression Equation
The most suitable regression equation representing this relationship is y = 122.48x + 25396.
Determine r
The correlation coefficient (r) assesses the relationship between square footage and listing
price, with a value of 0.9394 in this sample size. Consequently, the squared correlation 2,000 1,000 3,000 4,000 5,000 6,000 7,000 - 100,000 200,000 300,000 400,000 500,000 600,000 700,000 800,000 f(x) = 122.48 x + 25395.82
R² = 0.88
West South Central Region
Square foot (X) Listing Price (
Y)
