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 = -1.7 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EISING Tijmen | 80 |
| 4 | BERNAS Paweł | 77 |
| 7 | GRADEK Kamil | 83 |
| 9 | DOMAGALSKI Karol | 77 |
| 14 | KOLÁŘ Michael | 90 |
| 15 | WIŚNIOWSKI Łukasz | 78 |
| 25 | EVRARD Laurent | 65 |
| 27 | POLNICKÝ Jiří | 68 |
| 29 | FRANCZAK Paweł | 63 |
| 34 | MAHĎAR Martin | 61 |
| 37 | DEMOITIÉ Antoine | 69 |
| 38 | PETRUŠ Lubomir | 58 |
| 54 | POLJAŃSKI Paweł | 63 |
| 55 | PIASKOWY Emanuel | 60 |
| 65 | ALTUNA Erik | 66 |
| 85 | DE CLERCQ Angelo | 67 |