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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUDZIŃSKI Marcin | 70 |
| 3 | ROSTOVTSEV Sergey | 73 |
| 4 | PRADES Benjamín | 56 |
| 6 | ÖZGÜR Batuhan | 75 |
| 8 | URY Noé | 68 |
| 9 | BANASZEK Norbert | 75 |
| 11 | SLAMZHANOV Orken | 64 |
| 12 | PAWLAK Tobiasz | 81 |
| 13 | SAINBAYAR Jambaljamts | 60 |
| 14 | SMIT Willie | 72 |
| 15 | KACZMAREK Jakub | 66 |
| 16 | DE POORTER Maxime | 68 |
| 17 | HABTEAB Yoel | 61 |
| 18 | MATTHEIS Oliver | 65 |