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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FEILLU Romain | 62 |
| 7 | ROLLIN Dominique | 83 |
| 9 | KOZONTCHUK Dmitry | 75 |
| 13 | PETERSON Tom | 70 |
| 14 | OFFREDO Yoann | 69 |
| 15 | LEVARLET Guillaume | 67 |
| 16 | WESTRA Lieuwe | 74 |
| 17 | VELITS Peter | 63 |
| 18 | TRONET Steven | 67 |
| 19 | JEANNESSON Arnold | 65 |
| 20 | RASCH Gabriel | 72 |