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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kowalski
1
67 kgJauregui
2
60 kgEg
3
60 kgHerklotz
4
68 kgWachter
5
72 kgBenoot
7
72 kgArslanov
8
63 kg
1
67 kgJauregui
2
60 kgEg
3
60 kgHerklotz
4
68 kgWachter
5
72 kgBenoot
7
72 kgArslanov
8
63 kg
Weight (KG) →
Result →
72
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOWALSKI Dylan | 67 |
| 2 | JAUREGUI Quentin | 60 |
| 3 | EG Niklas | 60 |
| 4 | HERKLOTZ Silvio | 68 |
| 5 | WACHTER Alexander | 72 |
| 7 | BENOOT Tiesj | 72 |
| 8 | ARSLANOV Ildar | 63 |