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 = -0.3 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Schnaidt
1
70 kgAskari
3
73 kgClarke
4
81 kgKuboki
5
68 kgNakajima
8
64 kgAlizadeh
9
62 kgKadlec
10
70 kg
1
70 kgAskari
3
73 kgClarke
4
81 kgKuboki
5
68 kgNakajima
8
64 kgAlizadeh
9
62 kgKadlec
10
70 kg
Weight (KG) →
Result →
81
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHNAIDT Fabian | 70 |
| 3 | ASKARI Hossein | 73 |
| 4 | CLARKE Will | 81 |
| 5 | KUBOKI Kazushige | 68 |
| 8 | NAKAJIMA Yasuharu | 64 |
| 9 | ALIZADEH Hossein | 62 |
| 10 | KADLEC Milan | 70 |