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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALBERT Niels | 73 |
| 2 | ROSSETTO Stéphane | 68 |
| 3 | BOUET Maxime | 67 |
| 5 | FOUCHARD Julien | 74 |
| 7 | NAULEAU Bryan | 67 |
| 9 | VANMARCKE Sep | 77 |
| 12 | JOSEPH Gregory | 67 |
| 17 | MALACARNE Gael | 73 |
| 23 | ADAMS Joeri | 63 |
| 24 | HALLEGUEN Mathieu | 67 |
| 27 | GÉRARD Arnaud | 70 |
| 28 | WALSLEBEN Philipp | 66 |
| 29 | BOL Jetse | 71 |
| 30 | VAN POPPEL Boy | 78 |