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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONG Timo | 72 |
| 2 | MARSMAN Tim | 75 |
| 4 | VERBOOM Minne | 84 |
| 5 | HEALY Ben | 65 |
| 7 | HAEST Kevin | 70 |
| 8 | DONOVAN Mark | 70 |
| 11 | NAVARRO Gauthier | 60 |
| 15 | VAN DER TUUK Danny | 64 |
| 16 | BARRÉ Louis | 68 |