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 = -1.1 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Keller
4
80 kgVandyck
6
64 kgStravers
7
73 kgKros
11
64 kgBonthuys
30
60 kgAkanga
57
67 kg
4
80 kgVandyck
6
64 kgStravers
7
73 kgKros
11
64 kgBonthuys
30
60 kgAkanga
57
67 kg
Weight (KG) →
Result →
80
60
4
57
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLER Hermann | 80 |
| 6 | VANDYCK Niels | 64 |
| 7 | STRAVERS Jarri | 73 |
| 11 | KROS Eric | 64 |
| 30 | BONTHUYS Carl | 60 |
| 57 | AKANGA Abdou Raouf | 67 |