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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | ÖRKEN Ahmet | 69 |
| 4 | SISR František | 72 |
| 5 | MEIJERS Jeroen | 68 |
| 10 | RAHBEK Mads | 66 |
| 12 | MAAS Jan | 70 |
| 13 | BOL Cees | 83 |
| 17 | LAAS Martin | 76 |
| 18 | CORNELISSE Mitchell | 73.5 |
| 20 | KAMSTRA Brian | 64 |
| 22 | DE KEIJZER Gerd | 72.6 |
| 23 | SAMLI Feritcan | 75 |
| 24 | BAKKER Dennis | 74.5 |