Answers to Examination 1 - Applied Regression Analysis | STAT 51200, Exams of Statistics

Download Answers to Examination 1 - Applied Regression Analysis | STAT 51200 and more Exams Statistics in PDF only on Docsity! STAT nnn EXAM L1 George McCabe mm dd, yyyy Name: Show all work on these pages (25) 1. fa) A polynomial regression model y = 85+ 1X + 2X? + fit to a set of data gave bo = 5, 6) = 10, and 4) = 3. Find the predicted value of the response variable when the explanatory variable is equal to 5. Ps peor) +305)" (135 | (b) The MSE for a multiple regression is 50. What is the estimate of the standard deviation of the errer term in the model? a= §mse > (Fo = 71 (c) For a simple linear regression the estimate of the slope is $ with a standard error of 2. Give an estimate of the change in the response variable that you would expect if the explanatory variable increased by 3. [b. + b, (xe3)[-L bs 1b X]> Fb, = pay 3 (3b)> 30b)= 3(2)=]e/ (d) Refer to the previous problema. Assume that the sample size is 25, Give a 95% confidence interval for your estimate. = 2.06F Jet Bove le) occ P27, 23 PERT] a féz39) (e) In « multiple regression the studentized deleted residual for case 27 is 6.3. Would you consider this case to be an outlier? Explain why or why not. lye? ) Thane Oe dhe No, r) anil G 3 An ow aw -