In a simple linear regression, the least squares line turns out to be y = 120 + 4x.The sum of the residuals (errors) around this line will be 0.

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In simple linear regression, the least squares method ensures that the sum of the residuals (the differences between the observed values and the values predicted by the model) is zero. This is a property of the least squares estimation.

In a Simple Linear Regression, the Least Squares Line Turns