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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | BENNETT Sam | 73 |
| 4 | BOUHANNI Nacer | 65 |
| 5 | DE KLEIJN Arvid | 68 |
| 6 | MCLAY Daniel | 72 |
| 7 | MERLIER Tim | 76 |
| 8 | SÉNÉCHAL Florian | 77 |
| 9 | EINHORN Itamar | 72 |
| 10 | NIZZOLO Giacomo | 72 |
| 11 | PEÑALVER Manuel | 67 |
| 12 | VAN GESTEL Dries | 74 |
| 13 | TAMINIAUX Lionel | 74 |
| 14 | DILLIER Silvan | 75 |
| 15 | VENTURINI Clément | 60 |
| 16 | PLANCKAERT Edward | 71 |