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Fitted the Multiple Linear Regression Model to the USA housing data to predict the price of the house based on various variables. Also tested the basic assumptions of Linear Models.

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PiyushKumar02/USA-Housing-Data-Linear-Regression-

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USA-Housing-Data-Linear-Regression-

-- Performed Exploratory Data Analysis on USA Housing Dataset having 5000 data points and 5 predictor variables

-- Fitted a Multiple Regression Model by backward elimination and analysed the model to diagnose problems such as Multicollinearity, Heteroscedasticity, Autocorrelation and non-normality of stochastic error term

-- Achieved an adjusted R2 value of 0.89 and the model proved to be a good fit when applied on housing - test dataset

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Fitted the Multiple Linear Regression Model to the USA housing data to predict the price of the house based on various variables. Also tested the basic assumptions of Linear Models.

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