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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOLLANDERS Dries | 70 |
| 2 | VAN ZANDBEEK Ronan | 72 |
| 3 | VAN AERT Wout | 78 |
| 4 | DUIJN Huub | 73 |
| 5 | STEELS Stijn | 78 |
| 6 | HERMANS Quinten | 62 |
| 7 | VERMOTE Julien | 74 |
| 8 | VERMEERSCH Gianni | 68 |
| 9 | MINNAARD Marco | 65 |
| 10 | SALOMEIN Jarl | 80 |
| 11 | HOOGERLAND Johnny | 65 |
| 12 | HERMANS Ben | 72 |
| 13 | BAK Lars Ytting | 76 |
| 14 | WELLENS Tim | 71 |