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 + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOLANO Juan Sebastián | 72 |
| 3 | GROVES Kaden | 76 |
| 4 | CIMA Damiano | 70 |
| 6 | BENFATTO Marco | 71 |
| 7 | GALARRETA David | 77 |
| 8 | OSORIO Juan Felipe | 65 |
| 9 | AULAR Orluis | 65 |
| 10 | PEÑALVER Manuel | 67 |
| 11 | MOSCA Jacopo | 65 |
| 12 | SUAZA Bernardo | 66 |
| 15 | GOH Choon Huat | 54 |