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 + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Philippe | 75 |
| 2 | MONDORY Lloyd | 66 |
| 5 | RIBLON Christophe | 65 |
| 8 | CHAVANEL Sébastien | 77 |
| 10 | LEQUATRE Geoffroy | 64 |
| 11 | DUCLOS-LASSALLE Hervé | 63 |
| 17 | MARTIAS Rony | 71 |
| 20 | ROUSSEAU Nicolas | 70 |
| 25 | LELAY David | 67 |
| 27 | RENDERS Sven | 63 |
| 31 | KLOSTERGAARD Kasper | 69 |
| 37 | GÈNE Yohann | 67 |
| 40 | KAGGESTAD Mads | 66 |
| 44 | VAUGRENARD Benoît | 72 |