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 = -0.5 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RASMUSSEN Alex | 88 |
| 2 | TRAKSEL Bobbie | 72 |
| 3 | VOGONDY Nicolas | 62 |
| 4 | CALDEIRA Samuel José | 76 |
| 5 | VEELERS Tom | 75 |
| 7 | TOMBAK Janek | 71 |
| 9 | DELPECH Jean-Luc | 72 |
| 10 | FEILLU Romain | 62 |
| 11 | DURET Sébastien | 62 |
| 12 | ALBERT Niels | 73 |
| 13 | BONSERGENT Stéphane | 66 |
| 14 | NYS Sven | 73 |
| 22 | COMMEYNE Davy | 70 |
| 27 | TORRENT Carlos | 71 |
| 28 | QUÉMÉNEUR Perrig | 67 |
| 31 | SIMON Julien | 65 |