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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTOČEK Matúš | 80 |
| 2 | VAN SCHOOR Matthew | 62 |
| 3 | PALENI Enzo | 65 |
| 4 | THOMPSON Reuben | 66 |
| 5 | DEWEIRDT Siebe | 69 |
| 7 | BALLERSTEDT Maurice | 76 |
| 8 | VAN DE WYNKELE Lorenz | 75 |
| 9 | PLUIMERS Rick | 67 |
| 10 | MATTHYS Louka | 62 |
| 12 | MARSMAN Tim | 75 |
| 15 | GERMANI Lorenzo | 62 |
| 16 | LECLAINCHE Gwen | 65 |
| 17 | LECERF Junior | 54 |
| 19 | MEENS Johan | 62 |
| 20 | ÄRM Rait | 75 |