Question set 3 10 marks This question is the continuation of Question 2 Consider the model fits in Ques tion 2(f) that contain only three predictors Recency, Freq12, and Dollar12 The following R output is the part of created output by influence measures (fit5) Studentized obs dfb 1 dfb Rcnc dfb Fr12 dfb D112 dffit cov r cook d hat residuals 2 0 109 0 298 0 032 0 032 0 374 1 194 0 035 0 150 34 125 6 0 755 1 233 0 398 0 192 1 303 2 038 0 420 0 527 34 951 15 1 140 0 740 1 715 0 457 1 804 1 102 0 355 77 428 57 0 121 0 073 0 049 0 414 0 476 1 175 0 056 0 160 41 247 58 0 447 0 267 1 099 1 439 1 687 0 345 0 528 0 124 149 897 59 0 197 0 135 0 537 1 433 1 482 1 488 0 529 0 419 54 083 a) 3 marks) Which data points in this dataset are suspected influential observations Explain b) 5 marks What does Cooks Distance try to measure for a multiple linear regres sion model Calculate the Cook's distance for 15th observation (third row) Draw the conclusion c) 2 marks When examining case diagnostics in multiple linear regression model, under what circumstances, is it acceptable to remove an observation that is clearly an outlier Question set 3 10 marks This question is the continuation of Question 2 Consider the model fits in Ques tion 2(f) that contain only three predictors Recency, Freq12, and Dollar12 The following R output is the part of created output by influence measures (fit5) Studentized obs dfb 1 dfb Rcnc dfb Fr12 dfb D112 dffit cov r cook d hat residuals 2 0 109 0 298 0 032 0 032 0 374 1 194 0 035 0 150 34 125 6 0 755 1 233 0 398 0 192 1 303 2 038 0 420 0 527 34 951 15 1 140 0 740 1 715 0 457 1 804 1 102 0 355 77 428 57 0 121 0 073 0 049 0 414 0 476 1 175 0 056 0 160 41 247 58 0 447 0 267 1 099 1 439 1 687 0 345 0 528 0 124 149 897 59 0 197 0 135 0 537 1 433 1 482 1 488 0 529 0 419 54 083 a) 3 marks) Which data points in this dataset are suspected influential observations Explain b) 5 marks What does Cooks Distance try to measure for a multiple linear regres sion model Calculate the Cook's distance for 15th observation (third row) Draw the conclusion c) 2 marks When examining case diagnostics in multiple linear regression model, under what circumstances, is it acceptable to remove an observation that is clearly an outlier

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Question set 3  10 marks   This question is the continuation of Question   2  Consider the model fits in Ques  tion 2(f) that contain only three predictors  Recency, Freq12, and Dollar12  The following R output is the part of created output by influence measures (fit5)  Studentized obs dfb 1 dfb Rcnc dfb Fr12 dfb D112 dffit cov r cook d hat residuals 2 0 109  0 298  0 032  0 032  0 374 1 194 0 035 0 150  34  125 6  0 755 1 233 0 398 0 192 1 303 2 038 0 420 0 527 34 951 15  1 140 0 740 1 715  0 457 1 804 1 102       0 355 77 428 57 0 121  0 073 0 049  0 414  0 476 1 175 0 056 0 160  41 247 58 0 447  0 267  1 099 1 439 1 687 0 345 0 528 0 124 149 897 59  0 197 0 135  0 537 1 433 1 482 1 488 0 529 0 419 54 083 a) 3 marks) Which data points in this dataset are suspected influential observations  Explain  b) 5 marks  What does Cooks Distance try to measure for a multiple linear regres  sion model  Calculate the Cook's distance for 15th observation (third row)  Draw the conclusion  c) 2 marks  When examining case diagnostics in multiple linear regression model, under what circumstances, is it acceptable to remove an observation that is clearly an outlier  Question set 3  10 marks   This question is the continuation of Question   2  Consider the model fits in Ques  tion 2(f) that contain only three predictors  Recency, Freq12, and Dollar12  The following R output is the part of created output by influence measures (fit5)  Studentized obs dfb 1 dfb Rcnc dfb Fr12 dfb D112 dffit cov r cook d hat residuals 2 0 109  0 298  0 032  0 032  0 374 1 194 0 035 0 150  34  125 6  0 755 1 233 0 398 0 192 1 303 2 038 0 420 0 527 34 951 15  1 140 0 740 1 715  0 457 1 804 1 102       0 355 77 428 57 0 121  0 073 0 049  0 414  0 476 1 175 0 056 0 160  41 247 58 0 447  0 267  1 099 1 439 1 687 0 345 0 528 0 124 149 897 59  0 197 0 135  0 537 1 433 1 482 1 488 0 529 0 419 54 083 a) 3 marks) Which data points in this dataset are suspected influential observations  Explain  b) 5 marks  What does Cooks Distance try to measure for a multiple linear regres  sion model  Calculate the Cook's distance for 15th observation (third row)  Draw the conclusion  c) 2 marks  When examining case diagnostics in multiple linear regression model, under what circumstances, is it acceptable to remove an observation that is clearly an outlier

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Question: Question set 3 [10 marks]: This question is the continuation of Question # 2. Consider the model fits in Ques- tion 2(f) that contain only

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