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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KASPUTIS Artūras | 83 |
| 2 | MONCASSIN Frédéric | 73 |
| 4 | JALABERT Laurent | 66 |
| 6 | HEULOT Stéphane | 69 |
| 8 | MOREAU Christophe | 71 |
| 9 | MATTAN Nico | 69 |
| 11 | HUNDERTMARCK Kai | 72 |
| 12 | SAUGRAIN Cyril | 62 |
| 14 | SIMON François | 70 |
| 15 | LAFIS Michel | 78 |
| 17 | VAN HEESWIJK Max | 73 |
| 18 | JALABERT Nicolas | 68 |
| 19 | BROCHARD Laurent | 68 |
| 20 | BOUYER Franck | 65 |