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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HUYS Branko | 77 |
| 4 | PALENI Enzo | 65 |
| 5 | DAY Thomas | 70 |
| 7 | ROESEMS Siebe | 70 |
| 8 | THEILER Ole | 75 |
| 10 | JEGAT Jordan | 59 |
| 11 | VAN DE WYNKELE Lorenz | 75 |
| 14 | KEOGH Cian | 70 |
| 15 | ERAUW Thiemo | 69 |
| 17 | GACHET Guillaume | 61 |
| 20 | BACHMANN Laurin | 69 |