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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINEAU Jérôme | 65 |
| 2 | MALACARNE Davide | 63 |
| 3 | RAVARD Anthony | 62 |
| 4 | LELAY David | 67 |
| 5 | LE MÉVEL Christophe | 61 |
| 7 | JALABERT Nicolas | 68 |
| 9 | VAUGRENARD Benoît | 72 |
| 11 | HUSHOVD Thor | 83 |
| 12 | LEQUATRE Geoffroy | 64 |
| 13 | AUGÉ Stéphane | 65 |
| 15 | CHAMPION Dimitri | 70 |