When a Black Belt performs a Simple Linear Regression and observes the Residuals versus Fits plot, he observes two point
Posted: Wed Dec 08, 2021 5:32 am
When a Black Belt performs a Simple Linear Regression and observes the Residuals versus Fits plot, he observes two points shooting way out of the 0 Residual mark. What is the important thing he should infer?
That the data may be incorrect
That the data may suffer from a lack of fit
That the data may be an effect of special cause variability
That the data needs treatment
That the data may be incorrect
That the data may suffer from a lack of fit
That the data may be an effect of special cause variability
That the data needs treatment