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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 2 | MAZUR Peter | 73 |
| 3 | BODNAR Łukasz | 68 |
| 4 | REUS Kai | 70 |
| 5 | FARRAR Tyler | 73 |
| 6 | CLEMENT Stef | 66 |
| 7 | LEMOINE Cyril | 73 |
| 8 | DE KORT Koen | 69 |
| 9 | SIUTSOU Kanstantsin | 68 |
| 10 | CHAMPION Dimitri | 70 |
| 11 | DUGGAN Timothy | 60 |
| 12 | ELIJZEN Michiel | 80 |
| 13 | KAISEN Olivier | 82 |
| 15 | JEANDESBOZ Fabrice | 69 |
| 19 | COZZA Steven | 70 |
| 20 | ROLLIN Dominique | 83 |
| 23 | LOUBET Julien | 66 |