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 = -2.7 * weight + 218
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Stravers
2
73 kgKeller
11
80 kgVandyck
24
64 kgKros
52
64 kgBonthuys
61
60 kgAkanga
64
67 kg
2
73 kgKeller
11
80 kgVandyck
24
64 kgKros
52
64 kgBonthuys
61
60 kgAkanga
64
67 kg
Weight (KG) →
Result →
80
60
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STRAVERS Jarri | 73 |
| 11 | KELLER Hermann | 80 |
| 24 | VANDYCK Niels | 64 |
| 52 | KROS Eric | 64 |
| 61 | BONTHUYS Carl | 60 |
| 64 | AKANGA Abdou Raouf | 67 |