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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUSHOVD Thor | 83 |
| 2 | PENCOLÉ Franck | 74 |
| 3 | MORIN Anthony | 79 |
| 8 | BRUTT Pavel | 70 |
| 11 | HERVÉ Cédric | 60 |
| 13 | KLIMOV Sergey | 69 |
| 17 | LJUNGQVIST Marcus | 73 |
| 18 | JOHANSEN Allan | 78 |
| 19 | ARVESEN Kurt-Asle | 74 |
| 22 | SEROV Alexander | 77 |
| 24 | LUPEIKIS Remigius | 80 |
| 25 | LAURENT Christophe | 72 |