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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | BOUHANNI Nacer | 65 |
| 3 | SAGAN Peter | 78 |
| 4 | BOASSON HAGEN Edvald | 75 |
| 5 | KRISTOFF Alexander | 78 |
| 6 | BACKAERT Frederik | 78 |
| 7 | NIZZOLO Giacomo | 72 |
| 8 | DE VREESE Laurens | 78 |
| 9 | DÉMARE Arnaud | 76 |
| 10 | GUARDINI Andrea | 66 |
| 11 | KITTEL Marcel | 82 |
| 12 | JANS Roy | 68 |
| 13 | BONO Matteo | 60 |
| 14 | VAN LERBERGHE Bert | 83 |
| 15 | VAN GOETHEM Brian | 77 |