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 = -0.4 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EISING Tijmen | 80 |
| 3 | KOLÁŘ Michael | 90 |
| 7 | DE CLERCQ Angelo | 67 |
| 8 | DEMOITIÉ Antoine | 69 |
| 21 | FRANCZAK Paweł | 63 |
| 24 | EVRARD Laurent | 65 |
| 30 | WIŚNIOWSKI Łukasz | 78 |
| 32 | MAHĎAR Martin | 61 |
| 36 | DOMAGALSKI Karol | 77 |
| 41 | PETRUŠ Lubomir | 58 |
| 43 | POLJAŃSKI Paweł | 63 |
| 46 | BERNAS Paweł | 77 |
| 55 | PIASKOWY Emanuel | 60 |
| 59 | ALTUNA Erik | 66 |
| 67 | POLNICKÝ Jiří | 68 |
| 80 | GRADEK Kamil | 83 |