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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BABOR Daniel | 79 |
| 3 | VERMELTFOORT Coen | 85 |
| 6 | CAÑELLAS Xavier | 66 |
| 7 | LEVASSEUR Jordan | 74 |
| 9 | KROONEN Max | 79 |
| 10 | HARTEEL Jelle | 66 |
| 11 | KVIST Linus | 72 |
| 12 | SHEEHAN Riley | 69 |