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The least-squares objective function sums the squared residuals over all observations. A residual is defined as the observed y value minus the line’s predicted value.
Conditions: The model is simple linear regression.; Residuals are defined as observed y minus predicted y.
The least-squares objective function sums the squared residuals over all observations. A residual is defined as the observed y value minus the line’s predicted value.
Conditions: The model is simple linear regression.; Residuals are defined as observed y minus predicted y.