The least squares line passes through the point $$( \bar { x } , \bar { y } )$$

Name: The least squares line passes through the point \[( \bar { x } , \bar { y } )\]
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This is true for simple linear regression, where we seek to find the line of best fit that minimizes the sum of the squared residuals between the observed values and the predicted values. The point $$( \bar { x } , \bar { y } )$$ represents the centroid of the data, and the least squares line will always pass through this point.

The Least Squares Line Passes Through the Point (xˉ,yˉ)( \bar { x } , \bar { y } )(xˉ,yˉ​)

The Least Squares Line Passes Through the Point $( \bar { x } , \bar { y } )$