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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOFFMANN Erik | 65 |
| 5 | ZARGARI Amir | 62 |
| 7 | BOONRATANATHANAKORN Turakit | 72 |
| 11 | CRAWFORD Jai | 59 |
| 12 | GLASNER Björn | 72 |
| 14 | MCCANN David | 73 |
| 17 | ASKARI Hossein | 73 |
| 18 | MIZBANI Ghader | 67 |
| 20 | VAN BON Léon | 72 |
| 27 | SAI-UDOMSIN Phuchong | 60 |
| 28 | CHAWCHIANGKWANG Peerapol | 64 |