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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | BARTHE Stéphane | 65 |
| 3 | AERTS Mario | 68 |
| 9 | VANSEVENANT Wim | 65 |
| 13 | VERHEYEN Geert | 68 |
| 17 | PRONK Matthé | 73 |
| 20 | BELOHVOŠČIKS Raivis | 70 |
| 21 | VAN HYFTE Paul | 70 |
| 22 | D'HOLLANDER Glenn | 74 |
| 23 | VERBRUGGHE Rik | 70 |
| 24 | VAN DE WOUWER Kurt | 66 |
| 26 | WAUTERS Marc | 73 |
| 27 | STREEL Marc | 69 |
| 28 | THIJS Erwin | 69 |