Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.9 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLAR David | 79 |
| 2 | DOWSETT Alex | 75 |
| 3 | DURBRIDGE Luke | 78 |
| 5 | FROOME Chris | 68 |
| 6 | DENNIS Rohan | 72 |
| 7 | BELL Zach | 75 |
| 8 | BAUER Jack | 74 |
| 9 | SERGENT Jesse | 76 |
| 10 | ROTH Ryan | 70 |
| 11 | OLIPHANT Evan | 66 |
| 14 | FENN Andrew | 79 |
| 15 | THOMSON Jay Robert | 75 |
| 16 | LINCOLN Yannick | 75 |
| 18 | HOFFMANN Erik | 65 |
| 19 | NIYONSHUTI Adrien | 63 |
| 27 | HORTON Tobyn | 70 |
| 36 | KIBUNJA John | 69 |
| 52 | JUPP Laurence | 72 |