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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOROŠEC Rok | 75 |
| 2 | GRABIS Mateusz | 75 |
| 3 | GROŠELJ Matic | 70 |
| 4 | TRÆEN Torstein | 63 |
| 5 | BROŻYNA Piotr | 71 |
| 7 | RUTKIEWICZ Marek | 66 |
| 9 | BERNAS Paweł | 77 |
| 10 | TUREK Daniel | 72 |
| 11 | NOLDE Tobias | 79 |
| 12 | WAWRZYNIAK Karol | 65 |
| 13 | KACZMAREK Jakub | 66 |
| 14 | PATTYN Steven | 63 |