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 = -2.5 * weight + 196
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Keller
5
80 kgStravers
6
73 kgAkanga
29
67 kgVandyck
36
64 kgBonthuys
53
60 kg
5
80 kgStravers
6
73 kgAkanga
29
67 kgVandyck
36
64 kgBonthuys
53
60 kg
Weight (KG) →
Result →
80
60
5
53
# | Rider | Weight (KG) |
---|---|---|
5 | KELLER Hermann | 80 |
6 | STRAVERS Jarri | 73 |
29 | AKANGA Abdou Raouf | 67 |
36 | VANDYCK Niels | 64 |
53 | BONTHUYS Carl | 60 |