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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wesemann
1
72 kgMickiewicz
2
74 kgKonečný
3
67 kgSchaffrath
8
74 kgVoigt
9
76 kgRumšas
10
64 kg
1
72 kgMickiewicz
2
74 kgKonečný
3
67 kgSchaffrath
8
74 kgVoigt
9
76 kgRumšas
10
64 kg
Weight (KG) →
Result →
76
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WESEMANN Steffen | 72 |
| 2 | MICKIEWICZ Jacek | 74 |
| 3 | KONEČNÝ Tomáš | 67 |
| 8 | SCHAFFRATH Jan | 74 |
| 9 | VOIGT Jens | 76 |
| 10 | RUMŠAS Raimondas | 64 |