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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Remkhi
1
60 kgDostiyev
2
57 kgBorresch
7
79 kgMirzakhanov
11
66 kgTemmen
12
66 kgHarasim
13
72 kgNuriyev
20
67 kg
1
60 kgDostiyev
2
57 kgBorresch
7
79 kgMirzakhanov
11
66 kgTemmen
12
66 kgHarasim
13
72 kgNuriyev
20
67 kg
Weight (KG) →
Result →
79
57
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REMKHI Rudolf | 60 |
| 2 | DOSTIYEV Ilkhan | 57 |
| 7 | BORRESCH Julian | 79 |
| 11 | MIRZAKHANOV Kamran | 66 |
| 12 | TEMMEN Jan-Marc | 66 |
| 13 | HARASIM Mihnea-Alexandru | 72 |
| 20 | NURIYEV Nofal | 67 |