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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN EMDEN Jos | 78 |
| 8 | LODEWYCK Klaas | 70 |
| 10 | VERMELTFOORT Coen | 85 |
| 14 | NEIRYNCK Stijn | 78 |
| 15 | BAUGNIES Jérôme | 69 |
| 16 | KRUIJSWIJK Steven | 63 |
| 17 | DE JONGE Maarten | 65 |
| 21 | MATYSIAK Bartłomiej | 71 |
| 23 | LE FLOCH Guillaume | 67 |
| 24 | KRISTOFF Alexander | 78 |
| 25 | DE BACKER Bert | 73 |
| 29 | FEILLU Brice | 69 |
| 30 | DIDIER Laurent | 68 |