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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIAS Rony | 71 |
| 3 | BONSERGENT Stéphane | 66 |
| 4 | ROUX Anthony | 73 |
| 5 | JÉGOU Lilian | 71 |
| 7 | BERNAUDEAU Giovanni | 62 |
| 8 | VANLANDSCHOOT James | 67 |
| 10 | CHEREL Mikaël | 65 |
| 11 | LEVARLET Guillaume | 67 |
| 12 | DURET Sébastien | 62 |
| 13 | DELPECH Jean-Luc | 72 |
| 14 | CLAUDE Mathieu | 69 |
| 15 | HABEAUX Grégory | 68 |
| 19 | TURGOT Sébastien | 73 |
| 21 | VANTOMME Maxime | 63 |
| 24 | JELLOUL Adil | 58 |
| 26 | DI GRÉGORIO Rémy | 67 |