STAT151 Chapter Notes - Chapter 8: Design Of Experiments, Scatter Plot

• School: University of Alberta
• Department: Statistics
• Course: STAT151
• Professor: Omar Rivasplata

Document Summary

The fundamental assumption in working with a linear model is that the relationship you are modelling is, in fact, linear. Getting the bends : when the residuals arent straight. We can"t know whether the linearity assumption is true, but we can see if its plausible by checking the straight enough condition. All the data must come from the same population. 8. 2: outliers, leverage, and influence o o o o o o o. A data value can have a large residual; because they seem to be different from the other cases, points whose residuals are large always deserve special attention. A data point can also be unusual if its x-value is from the mean of the x-values. Such a point is said to have high leverage. A point with high leverage has the potential to change the regression line, but this isn"t always the case.