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 = -0.2 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VORGANOV Eduard | 65 |
| 3 | LELAY David | 67 |
| 5 | EICHLER Markus | 78 |
| 7 | ROUSSEAU Nicolas | 70 |
| 8 | PERQUE Franck | 78 |
| 15 | BONSERGENT Stéphane | 66 |
| 17 | TRONET Steven | 67 |
| 19 | OLIPHANT Evan | 66 |
| 20 | FEILLU Romain | 62 |
| 22 | FUKUSHIMA Shinichi | 62 |
| 24 | MIYAZAWA Takashi | 61 |
| 25 | MOURIS Jens | 91 |
| 26 | AERNOUTS Bart | 60 |
| 27 | VANTHOURENHOUT Sven | 65 |
| 31 | VELITS Peter | 63 |
| 34 | TURGOT Sébastien | 73 |