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 = -2.6 * weight + 205
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
Keller
2
80 kgStravers
6
73 kgKros
30
64 kgVandyck
41
64 kgBonthuys
50
60 kgAkanga
54
67 kg
2
80 kgStravers
6
73 kgKros
30
64 kgVandyck
41
64 kgBonthuys
50
60 kgAkanga
54
67 kg
Weight (KG) →
Result →
80
60
2
54
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLER Hermann | 80 |
| 6 | STRAVERS Jarri | 73 |
| 30 | KROS Eric | 64 |
| 41 | VANDYCK Niels | 64 |
| 50 | BONTHUYS Carl | 60 |
| 54 | AKANGA Abdou Raouf | 67 |