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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONFORT Maxime | 66 |
| 2 | ROSSELER Sébastien | 78 |
| 3 | CORNU Dominique | 78 |
| 4 | DEVOLDER Stijn | 72 |
| 5 | VANDEWALLE Kristof | 74 |
| 6 | VAN GOOLEN Jurgen | 70 |
| 7 | DE GENDT Thomas | 73 |
| 8 | VANHEULE Bart | 76 |
| 9 | KAISEN Olivier | 82 |
| 10 | DE NEEF Steven | 75 |
| 11 | BAKELANTS Jan | 67 |
| 12 | ROESEMS Bert | 81 |
| 13 | ISTA Kevyn | 70 |
| 14 | BERTRAND Jonathan | 65 |
| 15 | DE SCHROODER Benny | 61 |