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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WALSLEBEN Philipp | 66 |
| 2 | GONZÁLEZ PRIETO Aitor | 69 |
| 3 | BRAVO Garikoitz | 61 |
| 4 | MARTIN Guillaume | 55 |
| 5 | VAN DER POEL Mathieu | 75 |
| 6 | GESBERT Élie | 63 |
| 7 | FINETTO Mauro | 62 |
| 8 | DOUBEY Fabien | 62 |
| 9 | CALMEJANE Lilian | 70 |
| 10 | SICARD Romain | 63 |
| 11 | BAUGNIES Jérôme | 69 |
| 12 | GAUTIER Cyril | 65 |
| 13 | EDET Nicolas | 60 |
| 14 | BIDARD François | 65 |