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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARRISON Ian | 76 |
| 2 | VAN MOER Brent | 79 |
| 3 | GROVES Kaden | 76 |
| 4 | BJERG Mikkel | 78 |
| 5 | PIDCOCK Thomas | 58 |
| 6 | STEWART Jake | 66 |
| 7 | DENIS Thomas | 67 |
| 8 | EEKHOFF Nils | 75 |
| 9 | FOUCHÉ James | 71 |
| 10 | FOSS Tobias | 74 |
| 11 | MARIT Arne | 72 |
| 12 | SCOTT Robert | 73 |
| 13 | BEULLENS Cedric | 79 |
| 14 | HOOLE Daan | 81 |
| 15 | VAN WILDER Ilan | 64 |
| 17 | LEKNESSUND Andreas | 72 |
| 18 | BOUWMANS Dylan | 64 |