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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAUQUELIN Kévin | 69 |
| 3 | NYS Thibau | 64 |
| 4 | BERCKMOES Jenno | 61 |
| 5 | LÜHRS Luis-Joe | 66 |
| 7 | LAURANCE Axel | 63 |
| 8 | VANDEVELDE Yentl | 69 |
| 9 | DE LIE Arnaud | 78 |
| 11 | ANDRESEN Tobias Lund | 69 |
| 12 | KAMP Ryan | 70 |
| 13 | PONSAERTS Thibaut | 61 |
| 15 | KESS Alexandre | 70 |
| 18 | BONNET Theo | 63 |