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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Jauregui
1
60 kgHoelgaard
2
74 kgHerklotz
3
68 kgRekita
4
70 kgKowalski
6
67 kgBenoot
7
72 kg
1
60 kgHoelgaard
2
74 kgHerklotz
3
68 kgRekita
4
70 kgKowalski
6
67 kgBenoot
7
72 kg
Weight (KG) →
Result →
74
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAUREGUI Quentin | 60 |
| 2 | HOELGAARD Markus | 74 |
| 3 | HERKLOTZ Silvio | 68 |
| 4 | REKITA Szymon | 70 |
| 6 | KOWALSKI Dylan | 67 |
| 7 | BENOOT Tiesj | 72 |