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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HELVEN Sander | 74 |
| 2 | TURGIS Jimmy | 63 |
| 3 | SPRENGERS Thomas | 60 |
| 4 | TOUZÉ Damien | 69 |
| 5 | ANDREETTA Simone | 69 |
| 6 | FARAZIJN Maxime | 73.5 |
| 7 | POUILLY Félix | 66 |
| 8 | ROWE Luke | 72 |
| 9 | BARBIN Enrico | 60 |
| 10 | GODOY Yonder | 64 |
| 12 | HUPOND Thierry | 65 |
| 13 | GOUAULT Pierre | 61 |
| 14 | BÉRARD Julien | 70 |