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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KORETZKY Clément | 66 |
| 2 | VICHOT Arthur | 74 |
| 3 | DI GRÉGORIO Rémy | 67 |
| 4 | VUILLERMOZ Alexis | 60 |
| 5 | FOUCHARD Julien | 74 |
| 6 | SICARD Romain | 63 |
| 8 | HELVEN Sander | 74 |
| 9 | KADRI Blel | 66 |
| 10 | JARRIER Benoît | 69 |
| 11 | DE BIE Sean | 65 |
| 12 | TIMMER Albert | 77 |
| 13 | GAUTIER Cyril | 65 |
| 14 | DRON Boris | 72 |
| 15 | HUTAROVICH Yauheni | 71 |