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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DÉMARE Arnaud | 76 |
| 2 | DE LIE Arnaud | 78 |
| 3 | PENHOËT Paul | 64 |
| 5 | AUGÉ Ronan | 61 |
| 6 | TABELLION Valentin | 72 |
| 7 | RIOU Alan | 68 |
| 8 | DELACROIX Théo | 70 |
| 10 | TOUZÉ Damien | 69 |
| 11 | MARIS Elias | 64 |
| 12 | GENIETS Kevin | 73 |
| 13 | VANDENSTORME Dylan | 64 |
| 14 | VAUQUELIN Kévin | 69 |
| 16 | LATOUR Pierre | 66 |
| 17 | COLMAN Alex | 73 |
| 19 | LECROQ Jérémy | 70 |