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 = -1.1 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MONDORY Lloyd | 66 |
| 4 | CHAVANEL Sébastien | 77 |
| 6 | LEQUATRE Geoffroy | 64 |
| 8 | GILBERT Philippe | 75 |
| 9 | RIBLON Christophe | 65 |
| 12 | GÈNE Yohann | 67 |
| 16 | MARTIAS Rony | 71 |
| 22 | LELAY David | 67 |
| 23 | VAUGRENARD Benoît | 72 |
| 30 | DUCLOS-LASSALLE Hervé | 63 |
| 31 | ROUSSEAU Nicolas | 70 |
| 39 | RENDERS Sven | 63 |
| 46 | KLOSTERGAARD Kasper | 69 |
| 49 | KAGGESTAD Mads | 66 |