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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROVES Kaden | 76 |
| 3 | LIZDE Seid | 70 |
| 4 | BENFATTO Marco | 71 |
| 5 | FREIBERG Michael | 82 |
| 6 | OVECHKIN Artem | 61 |
| 7 | MOLANO Juan Sebastián | 72 |
| 8 | OSORIO Juan Felipe | 65 |
| 9 | MOSCA Jacopo | 65 |
| 10 | CIMA Damiano | 70 |
| 11 | MARQUE Alejandro Manuel | 68 |
| 13 | SPREAFICO Matteo | 69 |
| 14 | GALARRETA David | 77 |
| 15 | AULAR Orluis | 65 |
| 16 | PEÑALVER Manuel | 67 |
| 17 | SUAZA Bernardo | 66 |
| 21 | GOH Choon Huat | 54 |