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 = -1.7 * weight + 156
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Dyudya
7
80 kgSzeghalmi
29
66 kgKusztor
31
61 kgGraf
57
72 kgSteig
60
72 kgNagy
81
52 kg
7
80 kgSzeghalmi
29
66 kgKusztor
31
61 kgGraf
57
72 kgSteig
60
72 kgNagy
81
52 kg
Weight (KG) →
Result →
80
52
7
81
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DYUDYA Volodymyr | 80 |
| 29 | SZEGHALMI Balint | 66 |
| 31 | KUSZTOR Péter | 61 |
| 57 | GRAF Andreas | 72 |
| 60 | STEIG Csaba | 72 |
| 81 | NAGY Robert | 52 |