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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | HOFSTETTER Hugo | 66 |
| 4 | DUPONT Timothy | 72 |
| 5 | ROELANDTS Jürgen | 78 |
| 6 | DEGENKOLB John | 82 |
| 7 | ZABALA Josu | 61 |
| 8 | KEUKELEIRE Jens | 69 |
| 9 | PELUCCHI Matteo | 74 |
| 10 | AFONSO Luis | 56 |
| 11 | LAMPAERT Yves | 75 |
| 12 | LIVRAMENTO David | 55 |
| 14 | SERRY Pieter | 66 |