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 = 0.8 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CLAIN Médéric | 59 |
| 3 | ROUSSEAU Nicolas | 70 |
| 4 | PARISIEN François | 64 |
| 14 | PETERSON Tom | 70 |
| 15 | SURAY Gil | 67 |
| 21 | ROLLIN Dominique | 83 |
| 22 | DMITRIYEV Valeriy | 69 |
| 38 | DYACHENKO Alexandr | 65 |
| 51 | HONIG Reinier | 61 |
| 62 | LEWIS Craig | 65 |
| 68 | HUIZENGA Jenning | 72 |
| 74 | CAZAUX Pierre | 59 |
| 76 | NAULLEAU Alexandre | 72 |
| 80 | SCHULTING Peter | 70 |
| 82 | DE KETELE Kenny | 66 |
| 90 | MOL Wouter | 83 |