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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOKBRO Andreas | 70 |
| 2 | BABOR Daniel | 79 |
| 3 | OTTEMA Rick | 77 |
| 4 | GATE Aaron | 71 |
| 6 | VERMELTFOORT Coen | 85 |
| 9 | KUKRLE Michael | 73 |
| 12 | CAÑELLAS Xavier | 66 |
| 13 | LEVASSEUR Jordan | 74 |
| 15 | SHEEHAN Riley | 69 |
| 17 | KROONEN Max | 79 |
| 18 | HARTEEL Jelle | 66 |
| 19 | MIHKELS Madis | 75 |
| 20 | KVIST Linus | 72 |
| 21 | DAUPHIN Florian | 70 |
| 22 | NEUMAN Dominik | 72 |