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 = 1.3 * weight - 35
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Szeghalmi
15
66 kgKusztor
27
61 kgNagy
49
52 kgDyudya
56
80 kgSteig
82
72 kgGraf
93
72 kg
15
66 kgKusztor
27
61 kgNagy
49
52 kgDyudya
56
80 kgSteig
82
72 kgGraf
93
72 kg
Weight (KG) →
Result →
80
52
15
93
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | SZEGHALMI Balint | 66 |
| 27 | KUSZTOR Péter | 61 |
| 49 | NAGY Robert | 52 |
| 56 | DYUDYA Volodymyr | 80 |
| 82 | STEIG Csaba | 72 |
| 93 | GRAF Andreas | 72 |