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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIER Paul | 70 |
| 2 | MEEUS Jordi | 80 |
| 3 | VAN DEN BERG Marijn | 73 |
| 4 | VAN GILS Maxim | 63 |
| 5 | KIELICH Timo | 73 |
| 7 | DE LIE Arnaud | 78 |
| 8 | TRATNIK Jan | 67 |
| 9 | LAURANCE Axel | 63 |
| 10 | KUBIŠ Lukáš | 70 |
| 11 | GENIETS Kevin | 73 |
| 12 | VAUQUELIN Kévin | 69 |
| 13 | LATOUR Pierre | 66 |
| 14 | PENHOËT Paul | 64 |
| 15 | TABELLION Valentin | 72 |