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 = 0.6 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Szeghalmi
8
66 kgKusztor
26
61 kgDyudya
45
80 kgNagy
47
52 kgGraf
54
72 kgSteig
70
72 kg
8
66 kgKusztor
26
61 kgDyudya
45
80 kgNagy
47
52 kgGraf
54
72 kgSteig
70
72 kg
Weight (KG) →
Result →
80
52
8
70
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | SZEGHALMI Balint | 66 |
| 26 | KUSZTOR Péter | 61 |
| 45 | DYUDYA Volodymyr | 80 |
| 47 | NAGY Robert | 52 |
| 54 | GRAF Andreas | 72 |
| 70 | STEIG Csaba | 72 |