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 = 0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLAUDE Mathieu | 69 |
| 2 | MINARD Sébastien | 65 |
| 4 | RAVARD Anthony | 62 |
| 5 | BEPPU Fumiyuki | 69 |
| 9 | HADDOU Saïd | 80 |
| 10 | DRUJON Mathieu | 75 |
| 11 | PASSERON Aurélien | 73 |
| 12 | FEILLU Romain | 62 |
| 16 | BONNAIRE Olivier | 67 |
| 24 | DI GRÉGORIO Rémy | 67 |
| 25 | GÉRARD Arnaud | 70 |
| 27 | ROCHE Nicolas | 70 |
| 36 | BLOT Guillaume | 71 |
| 40 | FEILLU Brice | 69 |
| 46 | LEVARLET Guillaume | 67 |