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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOOLE Daan | 81 |
| 2 | OREEL Lars | 72 |
| 3 | VERBOOM Minne | 84 |
| 4 | GOEMAN Andreas | 64 |
| 5 | NABERMAN Tim | 70 |
| 6 | ZIJLAARD Maikel | 73 |
| 11 | BEKAERT Yentl | 62 |
| 25 | VERHOEFF Stefan | 76 |
| 27 | SANKMANN Joosep | 64 |
| 30 | KIELICH Timo | 73 |
| 33 | BRESSELEERS Jonas | 75 |
| 56 | ROBINSON Oliver | 74 |