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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFSTETTER Hugo | 66 |
| 2 | MANZIN Lorrenzo | 69 |
| 3 | CALMEJANE Lilian | 70 |
| 4 | PAGE Dylan | 64 |
| 5 | FONSECA Armindo | 56 |
| 6 | PASQUALON Andrea | 75 |
| 7 | VERMEULEN Emiel | 64 |
| 8 | DUMOULIN Samuel | 57 |
| 9 | KASPERKIEWICZ Przemysław | 71 |
| 10 | GARCÍA Jhojan | 55 |
| 11 | MALDONADO Anthony | 57 |
| 12 | DOUBEY Fabien | 62 |
| 13 | THOMAS Benjamin | 68 |
| 14 | TLEUBAYEV Ruslan | 70 |
| 15 | SMITH Dion | 67 |