SAS Question: Fit the linear model

=0+11+22+33+44+,

SAS Question: Fit the linear model

=0+11+22+33+44+,

for =1,, to the data from Q3outliers.csv to answer the following questions.

(a) Fit the regression model and use measures and plots from class to identify outliers and high influence points. Justify whether each of these points is an outlier, influential, or both.

(b) Remove observations 24 and 37 and refit the linear model. What differences do you notice between the two results?

3:40 Done Q3outliers wol 6 19212.212.8 2 9484,2 77.2 12.5 3 133391 70.7 15.5 4151868 852 15 5 7681.8 78.5 11.2 6873 70.8 11.1 7 13000.9 79.1 144 8 15570.4 80.7 15.7 10518.3 79.7 13 10 34964-2 71 16 11 141742 85.6 14.5 12 6062.1 78.5 11.4 13 117333 72144 14 4709.6 61.9 9.8 15 20656.9 832 17.7 16 225046 7.7 19.4 17 8739.9 75.9 12.2 18 6488.5 82 10. 19 4401.1 1.2 15.1 20 10368.9 79.8 12.9 21 276294 819 20.7 > 11048.4 5:13.2 23 14260.776.5 15.6 24 8922.8. 63.3 13.4 25 7552.7 79.9 11 26 11560.2 75.6 13.9 27 3540 75 7.7 28 16716,1 66,6 17,8 29 100955 73 13.0 50 249002 78.7 20 31 144744 84.7 14.8 32 7262.3 75.3 11.1 33 143122 78.5 15.2 46393.3 75.7 10.4 35 4666.7 67.2 9.4 56 11599.4 734 14.2 37 5.89.7 735 119 38 10494.8 75.6 13.3 11964.9 53 13.5 40 8348.2 80.9 11.5 1 9212.5 / 12.8 2.4%,7.2 32.5 3 1333.17 155 4 1516.2 15 5 761.2 ,34,2 471 7 130009 9.1 14.4 $ 155.4 7 15.7 9 1951117 11 10 14964.2 74 1. 17: 5,6 24.5 12 02.1 4.3 11.4 11 1733; 14 4709.6 1.9 9. 15 20658. 14 32504,6,739.4 17 $739 3.9 12.2 18 $488.5 16.1 | 19 141.2 15.1 1038 33.9 2. 2,6, 19 30, 2 30, 13.3 14:15:4 24 922.8.1.1 13.4 5 7592 9.9 11 3. 1156-2.2 , 11.9 10 ( 28 16716, 8.6 17.8 10094 249up , , 30 1 194744 47 14. x 7262.3 31 12.1 1 19312: 78.5 15.2 A 6193.1 : 10.4 5 4666.7 72 4 115947.4 14: ? 19, 71.5 11.9 1049436 13.3 9 1964 3.5 40 $348.29 1.5 3:40 Done Q3outliers wol 6 19212.212.8 2 9484,2 77.2 12.5 3 133391 70.7 15.5 4151868 852 15 5 7681.8 78.5 11.2 6873 70.8 11.1 7 13000.9 79.1 144 8 15570.4 80.7 15.7 10518.3 79.7 13 10 34964-2 71 16 11 141742 85.6 14.5 12 6062.1 78.5 11.4 13 117333 72144 14 4709.6 61.9 9.8 15 20656.9 832 17.7 16 225046 7.7 19.4 17 8739.9 75.9 12.2 18 6488.5 82 10. 19 4401.1 1.2 15.1 20 10368.9 79.8 12.9 21 276294 819 20.7 > 11048.4 5:13.2 23 14260.776.5 15.6 24 8922.8. 63.3 13.4 25 7552.7 79.9 11 26 11560.2 75.6 13.9 27 3540 75 7.7 28 16716,1 66,6 17,8 29 100955 73 13.0 50 249002 78.7 20 31 144744 84.7 14.8 32 7262.3 75.3 11.1 33 143122 78.5 15.2 46393.3 75.7 10.4 35 4666.7 67.2 9.4 56 11599.4 734 14.2 37 5.89.7 735 119 38 10494.8 75.6 13.3 11964.9 53 13.5 40 8348.2 80.9 11.5 1 9212.5 / 12.8 2.4%,7.2 32.5 3 1333.17 155 4 1516.2 15 5 761.2 ,34,2 471 7 130009 9.1 14.4 $ 155.4 7 15.7 9 1951117 11 10 14964.2 74 1. 17: 5,6 24.5 12 02.1 4.3 11.4 11 1733; 14 4709.6 1.9 9. 15 20658. 14 32504,6,739.4 17 $739 3.9 12.2 18 $488.5 16.1 | 19 141.2 15.1 1038 33.9 2. 2,6, 19 30, 2 30, 13.3 14:15:4 24 922.8.1.1 13.4 5 7592 9.9 11 3. 1156-2.2 , 11.9 10 ( 28 16716, 8.6 17.8 10094 249up , , 30 1 194744 47 14. x 7262.3 31 12.1 1 19312: 78.5 15.2 A 6193.1 : 10.4 5 4666.7 72 4 115947.4 14: ? 19, 71.5 11.9 1049436 13.3 9 1964 3.5 40 $348.29 1.5