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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRÉGOIRE Romain | 64 |
| 2 | CHRISTEN Jan | 60 |
| 3 | MORGADO António | 71 |
| 5 | ROLLAND Brieuc | 59 |
| 6 | LOPES Lucas | 59 |
| 7 | SÖDERQVIST Jakob | 83 |
| 8 | MIHKELS Madis | 75 |
| 10 | OLIVO Bryan | 70 |
| 11 | THORNLEY Callum | 76 |
| 12 | VAN MECHELEN Vlad | 78 |
| 16 | SHMIDT Artem | 76 |
| 17 | DE PAULA Victor Cesar | 63 |
| 19 | CAMPOS Noah | 67 |
| 20 | MARTINS João | 74 |