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 - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDET Nicolas | 60 |
| 2 | LEVARLET Guillaume | 67 |
| 3 | VALJAVEC Tadej | 59 |
| 4 | VUILLERMOZ Alexis | 60 |
| 6 | MÉDEREL Maxime | 59 |
| 7 | BARLE Florent | 72 |
| 8 | FOUCHARD Julien | 74 |
| 9 | BERNAUDEAU Giovanni | 62 |
| 10 | SIJMENS Nico | 69 |
| 11 | BALDO Nicolas | 73 |
| 13 | DEMOITIÉ Antoine | 69 |
| 15 | KERN Christophe | 72 |
| 16 | CHARTEAU Anthony | 67 |
| 17 | MANDRI René | 66 |
| 18 | TUSVELD Martijn | 70 |
| 19 | SCHMIDT Fabien | 63 |