In your own words, explain the process undertaken while testing the significance of a multiple linear regression model parameter Indicating clearly the hypothesis considered, test statistics used rejection criteria and conclusion.

Multiple Linear Regression Analysis consists of more than just fitting a linear line through a cloud of data points. It consists of three stages: 1) analyzing the correlation and directionality of the data, 2) estimating the model, i.e., fitting the line, and 3) evaluating the validity and usefulness of the model.

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In your own words, explain the process undertaken while testing the significance of a multiple linear regression model parameter Indicating clearly the hypothesis considered, test statistics used rejection criteria and conclusion.​

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In your own words, explain the process undertaken while testing the significance of a multiple linear regression model parameter Indicating clearly the hypothesis considered, test statistics used rejection criteria and conclusion.