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 = 54.4 * weight - 3447
This means that on average for every extra kilogram weight a rider loses 54.4 positions in the result.
Pfenninger
10
70 kgHugens
990
83 kgGlemser
990
82 kgGeurts
990
73 kg
10
70 kgHugens
990
83 kgGlemser
990
82 kgGeurts
990
73 kg
Weight (KG) →
Result →
83
70
10
990
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | PFENNINGER Louis | 70 |
| 990 | HUGENS Jan | 83 |
| 990 | GLEMSER Peter | 82 |
| 990 | GEURTS Joseph | 73 |