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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Mathieu | 75 |
| 2 | RIABUSHENKO Alexandr | 61 |
| 3 | CAVAGNA Rémi | 78 |
| 4 | BONNAMOUR Franck | 70 |
| 5 | HALVORSEN Kristoffer | 69 |
| 7 | ALLEGAERT Piet | 70 |
| 8 | WALLIN Rasmus Bøgh | 78 |
| 12 | NYCH Artem | 74 |
| 14 | GESBERT Élie | 63 |
| 15 | MACKINNON Sean | 75 |