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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ASADOV Elchin | 77 |
| 4 | RAILEANU Cristian | 63 |
| 5 | EDDY SUHAIDEE Muhammad Danieal Haikal | 63 |
| 6 | CHZHAN Igor | 71 |
| 8 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 9 | JABRAYILOV Samir | 52 |
| 10 | CAHYADI Aiman | 52 |
| 12 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 17 | GOH Choon Huat | 54 |
| 18 | BOONRATANATHANAKORN Turakit | 72 |
| 20 | OVECHKIN Artem | 61 |