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 = -0.3 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAZKANO Oier | 74 |
| 2 | ALAPHILIPPE Julian | 62 |
| 3 | STANNARD Robert | 74 |
| 4 | VLIEGEN Loïc | 70 |
| 5 | ARANBURU Alex | 63 |
| 6 | SKJELMOSE Mattias | 65 |
| 7 | HERRADA Jesús | 70 |
| 8 | ROTA Lorenzo | 62 |
| 9 | EIKING Odd Christian | 75 |
| 10 | VAN AVERMAET Greg | 74 |
| 11 | MARTIN Guillaume | 55 |
| 12 | SHAW James | 63 |
| 13 | VAN GILS Maxim | 63 |
| 14 | CHAMPOUSSIN Clément | 61 |
| 15 | UIJTDEBROEKS Cian | 68 |
| 16 | WANDAHL Frederik | 61 |