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 + 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Szeghalmi
32
66 kgNagy
45
52 kgDyudya
48
80 kgGraf
51
72 kgKusztor
53
61 kgSteig
95
72 kg
32
66 kgNagy
45
52 kgDyudya
48
80 kgGraf
51
72 kgKusztor
53
61 kgSteig
95
72 kg
Weight (KG) →
Result →
80
52
32
95
| # | Rider | Weight (KG) |
|---|---|---|
| 32 | SZEGHALMI Balint | 66 |
| 45 | NAGY Robert | 52 |
| 48 | DYUDYA Volodymyr | 80 |
| 51 | GRAF Andreas | 72 |
| 53 | KUSZTOR Péter | 61 |
| 95 | STEIG Csaba | 72 |