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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIVIANI Elia | 67 |
| 2 | DE BONDT Dries | 73 |
| 3 | MILAN Jonathan | 87 |
| 4 | BENNETT Sam | 73 |
| 5 | DE LIE Arnaud | 78 |
| 6 | GOLDSTEIN Omer | 61 |
| 7 | KOOIJ Olav | 72 |
| 8 | TAMINIAUX Lionel | 74 |
| 9 | WANDAHL Frederik | 61 |
| 10 | WALSCHEID Max | 90 |
| 11 | DE KLEIJN Arvid | 68 |
| 12 | BARRÉ Louis | 68 |
| 13 | PLOWRIGHT Jensen | 80 |
| 14 | ABERASTURI Jon | 69 |