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 = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | KRISTOFF Alexander | 78 |
| 3 | JANS Roy | 68 |
| 4 | SÉNÉCHAL Florian | 77 |
| 5 | BARBIER Rudy | 79 |
| 6 | VAN LERBERGHE Bert | 83 |
| 7 | DE BUYST Jasper | 72 |
| 8 | LAPORTE Christophe | 76 |
| 9 | TOUZÉ Damien | 69 |
| 10 | DENZ Nico | 71 |
| 11 | LECROQ Jérémy | 70 |
| 12 | JAUN Lukas | 66 |
| 14 | DUPONT Timothy | 72 |
| 15 | PRADES Eduard | 63 |
| 17 | STENUIT Robin | 77 |
| 18 | ŠIŠKEVIČIUS Evaldas | 80 |