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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHEUNEMAN Niels | 75 |
| 2 | PERGET Mathieu | 64 |
| 4 | DE MAAR Marc | 70 |
| 5 | CHRISTENSEN Mads | 69 |
| 6 | ROY Jérémy | 70 |
| 9 | CLAUDE Mathieu | 69 |
| 11 | SANTAROMITA Ivan | 58 |
| 12 | MORABITO Steve | 74 |