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 - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAÑAVERAL Johnatan | 60 |
| 3 | NIKITIN Matvey | 61 |
| 4 | VAN ENGELEN Adne | 51 |
| 6 | ZURLO Federico | 70 |
| 7 | BERGSTRÖM FRISK Erik | 67 |
| 9 | PĘKALA Piotr | 65 |
| 10 | BRUSSENSKIY Gleb | 64 |
| 11 | ȚVETCOV Serghei | 69 |
| 12 | FILUTÁS Viktor | 68 |
| 13 | KRAWCZYK Szymon | 79 |
| 15 | BICHLMANN Daniel | 72 |
| 16 | GROSU Eduard-Michael | 68 |