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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LECUISINIER Pierre-Henri | 65 |
| 2 | TEUNS Dylan | 64 |
| 4 | MARTIN Guillaume | 55 |
| 5 | PACHER Quentin | 62 |
| 6 | CHEVRIER Clément | 56 |
| 7 | DUMOURIER Florian | 60 |
| 8 | RYBALKIN Aleksey | 60 |
| 9 | GUERIN Alexis | 64 |