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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Dyudya
2
80 kgNagy
3
52 kgGraf
4
72 kgSzeghalmi
13
66 kgSteig
13
72 kgKusztor
17
61 kg
2
80 kgNagy
3
52 kgGraf
4
72 kgSzeghalmi
13
66 kgSteig
13
72 kgKusztor
17
61 kg
Weight (KG) →
Result →
80
52
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DYUDYA Volodymyr | 80 |
| 3 | NAGY Robert | 52 |
| 4 | GRAF Andreas | 72 |
| 13 | SZEGHALMI Balint | 66 |
| 13 | STEIG Csaba | 72 |
| 17 | KUSZTOR Péter | 61 |