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 = 2.5 * weight - 122
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
Nagy
11
52 kgSzeghalmi
12
66 kgKusztor
13
61 kgDyudya
47
80 kgGraf
77
72 kgSteig
96
72 kg
11
52 kgSzeghalmi
12
66 kgKusztor
13
61 kgDyudya
47
80 kgGraf
77
72 kgSteig
96
72 kg
Weight (KG) →
Result →
80
52
11
96
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | NAGY Robert | 52 |
| 12 | SZEGHALMI Balint | 66 |
| 13 | KUSZTOR Péter | 61 |
| 47 | DYUDYA Volodymyr | 80 |
| 77 | GRAF Andreas | 72 |
| 96 | STEIG Csaba | 72 |