3. [a pts]: A researcher was interested in understanding the linear relationship between a response lliarialzile r and a predictor it and performed a simple linear regression with 15 observations WM]. The researcher recorded the residuals resulting from the tted model in the sequence the observations were recorded and computed a measure using the following formula: iii '5 :1 \\Q; " Ecol a. lIl'l.i"hat does this formula measure? L H 11. Describe the characteristics of a set of 15 residuals where the computed measure would be close to . 4. [5 pts] A researcher stated: An inuential observation in linear regression analysis is always associated with a large residual. Do you agree or disagree with the researcher? Explain your answer. 5. [E ptsl We use the QQ plot to determine whether the error terms from an ordinary least squares model are normally distributed. Suggest a numeric measure based on the I'll-D. plot. to support the conclusion of the [HI plot