Housing Price Prediction Model For D.m. Pan Real Estate Comp

Housing Price Prediction Model for D.M. Pan Real Estate CompanySouthern New Hampshire University 09:08:21 GMT -05:00Regression EquationY=80.658x+91775Determine rThe correlation between square footage and listing price is 0.817961337 or 0.818. In this scenario, R=0.818. The correlation between square footage and selling price is very strong as the resulting number is closer to one. As square footage increases, the selling price increases, so the R coefficient is positive, directly correlating to increasing selling prices.Examine the Slope and InterceptsThe slope and intercept in the context of this problem are difficult to express. There are rare land sales without homes or square footage, which is not practical within the United States. When a home is built, the slope and intercept support increases in square footage, which is practical.R-squared CoefficientThe R-squared means the R-correlation multiplied by itself, which = 0.669061 or rounded0.67. This would also indicate that around 67% of homes are priced depending on this region's square footage. The coefficient of determination represents the increases in Y that the X-variable verifies. The variation is visible in the listing prices increases by the square-foot increases.Conclusions[Reflect on the relationship between square feet and sales price by addressing key