Multivariate Regression Modeling for Home Value Estimates ...

Multivariate Regression Modeling for HomeValue Estimates with evaluation usingMaximum information CoefficientGongzhu Hu, Jinping Wang, and Wenying FengAbstractPredictive Modeling is a statistical data mining approach that builds aprediction function from the observed data. The function is then used to estimate avalue of a dependent variable for new data. A commonly used predictive modelingmethod is Regression that has been applied to a wide range of application this paper, we build Multivariate Regression models of home prices using a datasetcomposed of 81 homes. We then applied the maximum information coefficient(MIC) statistics to the observed home values (Y) and the predicted values (X) asan evaluation of the Regression models.

Multivariate Regression Modeling for Home Value Estimates with Evaluation using Maximum Information Coefficient Gongzhu Hu, Jinping Wang, and Wenying Feng

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  Information, Using, Evaluation, Modeling, Home, Maximum, Regression, Multivariate, Evaluation using maximum information coefficient, Coefficient, Multivariate regression modeling for home

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