Study the dataset given in file ‘x03.csv’, read it in as a data frame. Use the linear regression method to find a possible linear relation between blood pressure and age. First plot the given sample points, then plot the linear model graph as only 2 variables; blood pressure and age are in the dataset. Finally, plot the residuals points and counts of the residuals, and evaluate the normality assumption for the dataset. x03.csv x03.csv Index Systolic age bp 1 1 39 144 2 1 47 220 3 1 45 138 4 1 47 145 5 1 65 162 6 1 46 142 7 1 67 170 8 1 42 124 9 1 67 158 10 1 56 154 11 1 64 162 12 1 56 150 13 1 59 140 14 1 34 110 15 1 42 128 16 1 48 130 17 1 45 135 18 1 17 114 19 1 20 116 20 1 19 124 21 1 36 136 22 1 50 142 23 1 39 120 24 1 21 120 25 1 44 160 26 1 53 158 27 1 63 144 28 1 29 130 29 1 25 125 30 1 69 175
Study the dataset given in file ‘x03.csv’, read it in as a data frame. Use the linear regression method to find a possible linear relation between blood pressure and age. First plot the given sample points, then plot the linear model graph as only 2 variables; blood pressure and age are in the dataset. Finally, plot the residuals points and counts of the residuals, and evaluate the normality assumption for the dataset. x03.csv x03.csv Index Systolic age bp 1 1 39 144 2 1 47 220 3 1 45 138 4 1 47 145 5 1 65 162 6 1 46 142 7 1 67 170 8 1 42 124 9 1 67 158 10 1 56 154 11 1 64 162 12 1 56 150 13 1 59 140 14 1 34 110 15 1 42 128 16 1 48 130 17 1 45 135 18 1 17 114 19 1 20 116 20 1 19 124 21 1 36 136 22 1 50 142 23 1 39 120 24 1 21 120 25 1 44 160 26 1 53 158 27 1 63 144 28 1 29 130 29 1 25 125 30 1 69 175
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Study the dataset given in file ‘x03.csv’, read it in as a data frame. Use the linear regression method to find a possible linear relation between blood pressure and age.
First plot the given sample points, then plot the linear model graph as only 2 variables; blood pressure and age are in the dataset. Finally, plot the residuals points and counts of the residuals, and evaluate the normality assumption for the dataset.
x03.csv
x03.csv
| Index | Systolic | age | bp |
| 1 | 1 | 39 | 144 |
| 2 | 1 | 47 | 220 |
| 3 | 1 | 45 | 138 |
| 4 | 1 | 47 | 145 |
| 5 | 1 | 65 | 162 |
| 6 | 1 | 46 | 142 |
| 7 | 1 | 67 | 170 |
| 8 | 1 | 42 | 124 |
| 9 | 1 | 67 | 158 |
| 10 | 1 | 56 | 154 |
| 11 | 1 | 64 | 162 |
| 12 | 1 | 56 | 150 |
| 13 | 1 | 59 | 140 |
| 14 | 1 | 34 | 110 |
| 15 | 1 | 42 | 128 |
| 16 | 1 | 48 | 130 |
| 17 | 1 | 45 | 135 |
| 18 | 1 | 17 | 114 |
| 19 | 1 | 20 | 116 |
| 20 | 1 | 19 | 124 |
| 21 | 1 | 36 | 136 |
| 22 | 1 | 50 | 142 |
| 23 | 1 | 39 | 120 |
| 24 | 1 | 21 | 120 |
| 25 | 1 | 44 | 160 |
| 26 | 1 | 53 | 158 |
| 27 | 1 | 63 | 144 |
| 28 | 1 | 29 | 130 |
| 29 | 1 | 25 | 125 |
| 30 | 1 | 69 | 175 |
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