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 + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALABARDON Yannick | 67 |
| 4 | COUTOULY Cédric | 72 |
| 6 | LEQUATRE Geoffroy | 64 |
| 8 | FOTHEN Markus | 71 |
| 10 | CHAVANEL Sébastien | 77 |
| 16 | RETSCHKE Robert | 66 |
| 21 | FOTHEN Thomas | 71 |
| 31 | KERN Christophe | 72 |
| 35 | HONIG Reinier | 61 |
| 37 | MCCARTY Jonathan Patrick | 68 |
| 42 | ALBASINI Michael | 65 |
| 45 | VALENTIN Tristan | 69 |
| 48 | GÈNE Yohann | 67 |
| 49 | MARTIAS Rony | 71 |
| 53 | TEN DAM Laurens | 67 |
| 61 | BOUCHER David | 78 |