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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBIER Pierre | 69 |
| 3 | BOWER Lewis | 63 |
| 4 | SKERL Daniel | 80 |
| 5 | GEORGE Alfred | 78 |
| 6 | VAN HAUTEGEM Leander | 64 |
| 9 | FOX Matthew | 71 |
| 10 | AUGÉ Ronan | 61 |
| 11 | NEUMAN Dominik | 72 |
| 12 | ANDREAUS Marco | 68 |
| 17 | AVONDTS Mathis | 62 |
| 18 | SCHERPENBERGH Tristan | 67 |
| 20 | HAUGLAND Kasper | 74 |
| 21 | WEULINK Meindert | 62 |
| 25 | HEIJNEN Philip | 66 |
| 26 | SENICOURT Kylian | 64 |
| 27 | LAMBRECHT Michiel | 75 |
| 28 | AMANN Dominik | 76 |