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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
De Neef
4
75 kgVanheule
6
76 kgTronet
8
67 kgAuger
11
78 kgBlot
14
71 kg
4
75 kgVanheule
6
76 kgTronet
8
67 kgAuger
11
78 kgBlot
14
71 kg
Weight (KG) →
Result →
78
67
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE NEEF Steven | 75 |
| 6 | VANHEULE Bart | 76 |
| 8 | TRONET Steven | 67 |
| 11 | AUGER Guillaume | 78 |
| 14 | BLOT Guillaume | 71 |