Computer scienceData scienceMachine learningRegression

Multiple linear regression

Least squares constraints

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As a reminder, the formula for calculating the optimal coefficients with the least squares method is as follows:

$\overrightarrow{\bf{w}}=(X^\top X)^{-1}X^\top \overrightarrow{\bf{y}}$ What are the constraints for it?

Tip: review the Least squares method section from the theory.

Select one option from the list

Ensuring that all columns of X are linearly independent

Ensuring that all columns of X are linearly dependent

Ensuring that all rows of X are linearly independent

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