Computer scienceData scienceMachine learningRegression

Multiple linear regression

Main assumptions

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What are the main assumptions of multiple linear regression?

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The model must have the same number of features and objects

The target dependency must be non-linear

The target dependency must be similar to linear

The errors must be uncorrelated (independent) from each other

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