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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERCOUILLIE Victor | 66 |
| 2 | VAUQUELIN Kévin | 69 |
| 4 | DELACROIX Théo | 70 |
| 5 | TEUNS Dylan | 64 |
| 6 | CHAMPION Thomas | 66 |
| 7 | RETAILLEAU Valentin | 64 |
| 9 | GENIETS Kevin | 73 |
| 10 | LATOUR Pierre | 66 |
| 11 | TOUZÉ Damien | 69 |
| 13 | DECOMBLE Maxime | 62 |
| 14 | GUILLON Célestin | 66 |
| 15 | BRUNEL Alexys | 70 |