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 = -1.1 * weight + 90
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAVIES Scott | 66 |
| 2 | KAMP Alexander | 74 |
| 3 | DOULL Owain | 71 |
| 4 | GRELLIER Fabien | 65 |
| 6 | LIENHARD Fabian | 73 |
| 8 | MERTZ Rémy | 70 |
| 12 | LEHNER Daniel | 63 |
| 14 | WÜRTZ SCHMIDT Mads | 70 |
| 21 | DERUETTE Thomas | 70 |
| 22 | GONÇALVES Gaspar | 64 |
| 26 | PAGE Dylan | 64 |
| 33 | MARTINGIL César | 67 |