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 = -0.8 * weight + 90
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOL Wouter | 83 |
| 4 | TRAKSEL Bobbie | 72 |
| 12 | VAN STAEYEN Michael | 62 |
| 20 | DE WILDE Sjef | 74 |
| 21 | CLANCY Edward | 79 |
| 30 | MASSON Christophe | 68 |
| 34 | FLAHAUT Denis | 66 |
| 38 | ISTA Kevyn | 70 |
| 39 | DE GENDT Thomas | 73 |
| 42 | WALGIEN Jorrit | 78 |
| 43 | BIDEAU Jean-Marc | 73 |
| 44 | STREEL Marc | 69 |
| 46 | NEIRYNCK Kevin | 71 |
| 49 | VAN VOOREN Steven | 75 |
| 60 | SCHULTING Peter | 70 |
| 84 | GUILLOU Florian | 71 |