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 = 0.7 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICHOT Alexandre | 72 |
| 3 | LEQUATRE Geoffroy | 64 |
| 6 | RENDERS Sven | 63 |
| 11 | LELAY David | 67 |
| 12 | MARTIAS Rony | 71 |
| 13 | DION Renaud | 65 |
| 14 | VANDBORG Brian Bach | 75 |
| 16 | VEIKKANEN Jussi | 66 |
| 17 | SCHULZE André | 70 |
| 20 | VALENTIN Tristan | 69 |
| 23 | MANGEL Laurent | 83 |
| 25 | SPRICK Matthieu | 71 |