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 = -11.5 * weight + 911
This means that on average for every extra kilogram weight a rider loses -11.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERLIER Tim | 76 |
| 2 | BITTNER Pavel | 73 |
| 3 | KOOIJ Olav | 72 |
| 4 | GIRMAY Biniam | 70 |
| 5 | DE LIE Arnaud | 78 |
| 6 | DE KLEIJN Arvid | 68 |
| 7 | MOLANO Juan Sebastián | 72 |
| 8 | DEHAIRS Simon | 82 |
| 9 | GROENEWEGEN Dylan | 70 |
| 10 | TURNER Ben | 74 |
| 11 | TEUNISSEN Mike | 73 |
| 12 | GUDMESTAD Tord | 82 |
| 13 | BALLERINI Davide | 71 |
| 14 | GAVIRIA Fernando | 71 |
| 15 | CAPIOT Amaury | 69 |
| 991 | FRETIN Milan | 70 |