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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VILLALOBOS Luis | 66 |
| 2 | VAN MOER Brent | 79 |
| 3 | HOOLE Daan | 81 |
| 4 | VERBOOM Minne | 84 |
| 5 | OREEL Lars | 72 |
| 8 | TULNER Rens | 62 |
| 9 | SIEBENS Gianni | 62 |
| 10 | ÖZGÜR Batuhan | 75 |
| 11 | EEKHOFF Nils | 75 |
| 14 | DRIESEN Jarne | 71 |
| 15 | HERREGODTS Rune | 70 |
| 18 | BEKAERT Yentl | 62 |
| 22 | QUARTERMAN Charlie | 75 |
| 23 | GOEMAN Andreas | 64 |
| 28 | NABERMAN Tim | 70 |
| 31 | VAN DEN DOOL Jens | 68 |