Computer scienceData scienceMachine learningRegression

Simple linear regression

Understanding least squares

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In the least squares method, our purpose is to minimize the sum of $e^2$ :

$\sum_{i=1}^n e^2 \to \min$ What is denoted by $e$ in this formula?

Select one option from the list

\sum_{i=1}^n x_i

ax - b

y_i - \hat{y_i}

{a \over n}

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