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 = -0.8 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZARGARI Amir | 62 |
| 4 | MCCANN David | 73 |
| 7 | BOONRATANATHANAKORN Turakit | 72 |
| 9 | HOFFMANN Erik | 65 |
| 10 | GLASNER Björn | 72 |
| 11 | ASKARI Hossein | 73 |
| 13 | MIZBANI Ghader | 67 |
| 15 | SOHRABI Mehdi | 69 |
| 19 | CRAWFORD Jai | 59 |
| 20 | VAN BON Léon | 72 |
| 22 | SAI-UDOMSIN Phuchong | 60 |
| 49 | CHAWCHIANGKWANG Peerapol | 64 |