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 = 0.9 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONIG Reinier | 61 |
| 3 | MANAKOV Victor | 77 |
| 5 | GUAMÁ Byron | 61 |
| 8 | ZHURKIN Nikolay | 77 |
| 22 | LÓPEZ Harold Martín | 55 |
| 42 | CAZA Rommel Andrés | 63 |
| 44 | KOONTZ Grant | 80 |
| 45 | STASH Mamyr | 77 |
| 58 | FONSECA Andrey | 56 |
| 82 | LEITHNER Daniel | 84 |
| 87 | LACHANCE Jean-Michel | 72 |