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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WELSFORD Sam | 79 |
| 3 | VOLTR Martin | 75 |
| 4 | MARECZKO Jakub | 67 |
| 6 | FILUTÁS Viktor | 68 |
| 8 | PEÑALVER Manuel | 67 |
| 9 | CAVENDISH Mark | 70 |
| 10 | ABERASTURI Jon | 69 |
| 11 | HIRSCHI Marc | 61 |
| 13 | VAN DE PAAR Jarne | 79 |
| 14 | LOOCKX Lander | 70 |
| 15 | KALOJÍROS Tomáš | 68 |