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 = 1.7 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROONI Ron | 72 |
| 2 | SCHWARTZ Simon | 69 |
| 6 | LARSEN Alexander Nørskov | 65 |
| 7 | BOUCHER Hugo | 67 |
| 14 | RAUS Jérôme | 73 |
| 17 | ZACHAREZEWSKI Patrik | 63 |
| 18 | KLEIBRANT Wilmer | 61 |
| 25 | LEFEVRE Fabrice | 75 |
| 82 | VUYLSTEKE Cédric | 73 |
| 93 | HEWES Alex | 69 |