When a Black Belt performs a Simple Linear Regression and observes the Residuals versus Fits plot, he observes two point

[answerhappygod]

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