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 + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Haussler
1
74 kgVelits
2
63 kgKozontchuk
3
75 kgŠtybar
4
68 kgVastaranta
6
63 kgJurčo
8
69 kg
1
74 kgVelits
2
63 kgKozontchuk
3
75 kgŠtybar
4
68 kgVastaranta
6
63 kgJurčo
8
69 kg
Weight (KG) →
Result →
75
63
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAUSSLER Heinrich | 74 |
| 2 | VELITS Peter | 63 |
| 3 | KOZONTCHUK Dmitry | 75 |
| 4 | ŠTYBAR Zdeněk | 68 |
| 6 | VASTARANTA Jukka | 63 |
| 8 | JURČO Matej | 69 |