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 = -0.7 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HULSMANS Kevin | 75 |
| 6 | PENCOLÉ Franck | 74 |
| 7 | HAYMAN Mathew | 78 |
| 8 | BRANDT Christophe | 66 |
| 10 | AMORISON Frédéric | 70 |
| 13 | FRITSCH Nicolas | 65 |
| 16 | CLAIN Médéric | 59 |
| 17 | KOPP David | 68 |
| 19 | BRUYLANDTS Dave | 63 |