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 = -1.4 * weight + 118
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONNET William | 80 |
| 3 | ELIJZEN Michiel | 80 |
| 6 | ESKOV Nikita | 73 |
| 7 | EICHLER Markus | 78 |
| 10 | LAMPATER Leif | 75 |
| 12 | MINARD Sébastien | 65 |
| 13 | VAUGRENARD Benoît | 72 |
| 15 | MONDORY Lloyd | 66 |
| 19 | HOOGERLAND Johnny | 65 |
| 27 | DRUJON Mathieu | 75 |
| 29 | SCHEUNEMAN Niels | 75 |
| 30 | CHAINEL Steve | 69 |
| 51 | BERNAUDEAU Giovanni | 62 |