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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | EECKHOUT Niko | 73 |
5 | HØJ Frank | 80 |
6 | PEERS Chris | 73 |
7 | PIZIKS Arvis | 70 |
8 | DE WILDE Etienne | 70 |
12 | VAN BONDT Geert | 71 |
13 | VAN PETEGEM Peter | 70 |
14 | VAN LANCKER Kurt | 67 |
18 | VOSKAMP Bart | 75 |
19 | HARMELING Rob | 76 |