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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DILLIER Silvan | 75 |
| 2 | GROENEWEGEN Dylan | 70 |
| 3 | WALSCHEID Max | 90 |
| 4 | JAKOBSEN Fabio | 78 |
| 5 | GRIVKO Andrey | 70 |
| 6 | ACKERMANN Pascal | 78 |
| 7 | HALLER Marco | 72 |
| 8 | TRENTIN Matteo | 74 |
| 9 | JANSE VAN RENSBURG Reinardt | 74 |
| 10 | DÉMARE Arnaud | 76 |
| 11 | MIRZA Yousif | 60 |
| 12 | STUYVEN Jasper | 78 |
| 13 | THOMSON Jay Robert | 75 |
| 14 | WOUTERS Enzo | 75 |
| 15 | VENTURINI Clément | 60 |