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 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMPENAERTS Victor | 68 |
| 2 | VAN POPPEL Danny | 82 |
| 3 | WARNIER Antoine | 71 |
| 4 | VALLÉE Boris | 79 |
| 5 | VLIEGEN Loïc | 70 |
| 6 | MCCARTHY Jay | 63 |
| 7 | VAN HOECKE Gijs | 78 |
| 8 | MCLAY Daniel | 72 |
| 9 | THEUNS Edward | 72 |
| 10 | DUCHESNE Antoine | 75 |
| 11 | ZABEL Rick | 81 |
| 12 | LECUISINIER Pierre-Henri | 65 |
| 13 | DE WINTER Ludwig | 83 |
| 14 | CHETOUT Loïc | 70 |
| 15 | PELLAUD Simon | 70 |
| 16 | ANTONINI Simone | 75 |