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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECUISINIER Pierre-Henri | 65 |
| 2 | CHERNETSKI Sergei | 63 |
| 4 | GUERIN Alexis | 64 |
| 5 | TEUNS Dylan | 64 |
| 6 | VANDYCK Niels | 64 |
| 7 | PACHER Quentin | 62 |
| 9 | WARBASSE Larry | 67 |
| 10 | PAILLOT Yoann | 72 |