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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WENZEL Mats | 68 |
| 5 | BOULAHOITE Rayan | 75 |
| 10 | APPELBAUM Henri Johannes | 64 |
| 11 | URY Noé | 68 |
| 13 | SÖDERQVIST Jakob | 83 |
| 14 | DUCKERT Roman | 68 |
| 15 | GRIXA Jarno | 62 |
| 17 | KOCKELMANN Mathieu | 70 |
| 18 | THEILER Ole | 75 |
| 19 | MÜLLER Tobias | 64 |
| 21 | LAURYSSEN Yorben | 67 |
| 27 | DE MOYER Kenay | 69 |
| 31 | BRIESE Max | 66 |