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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 2 | BOONEN Tom | 82 |
| 3 | PELUCCHI Matteo | 74 |
| 4 | SINKELDAM Ramon | 77 |
| 5 | KRISTOFF Alexander | 78 |
| 6 | KONRAD Patrick | 64 |
| 7 | BOUHANNI Nacer | 65 |
| 8 | SAGAN Peter | 78 |
| 9 | VAN ZYL Johann | 72 |
| 10 | BENNETT Sam | 73 |
| 11 | VAN MEIRHAEGHE Jef | 71 |
| 12 | MODOLO Sacha | 67 |
| 13 | ANDREETTA Simone | 69 |
| 14 | DÉMARE Arnaud | 76 |