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 = -0.7 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REMIJN Senna | 68 |
| 4 | SCHAPER Joeri | 69 |
| 5 | SCHELDEMAN Xander | 66 |
| 6 | SOLEN Keije | 67 |
| 7 | MOLENAAR Ko | 68 |
| 8 | SCHOOFS Jasper | 68 |
| 12 | HEMERYCK Wout | 72 |
| 16 | SMIT Stan | 59 |
| 17 | OMRZEL Jakob | 62 |
| 19 | PERA Marceli | 68 |