What are the steps involved in building and evaluating a linear regression model in r?
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Answer / Neeraj Kumar Chaurasia
The steps to build and evaluate a linear regression model in R include loading the data, preprocessing (cleaning and transforming), model formulation, fitting the model, checking assumptions, and model evaluation.
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