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 + 23
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | CHAINEL Steve | 69 |
| 10 | ESKOV Nikita | 73 |
| 12 | ELIJZEN Michiel | 80 |
| 16 | EICHLER Markus | 78 |
| 23 | HOOGERLAND Johnny | 65 |
| 25 | SCHEUNEMAN Niels | 75 |
| 28 | BERNAUDEAU Giovanni | 62 |
| 31 | MINARD Sébastien | 65 |
| 32 | DRUJON Mathieu | 75 |
| 49 | LAMPATER Leif | 75 |
| 50 | MONDORY Lloyd | 66 |
| 52 | VAUGRENARD Benoît | 72 |
| 60 | BONNET William | 80 |