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 = 0.9 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Nagy
15
52 kgDyudya
43
80 kgSzeghalmi
50
66 kgGraf
64
72 kgSteig
70
72 kgKusztor
79
61 kg
15
52 kgDyudya
43
80 kgSzeghalmi
50
66 kgGraf
64
72 kgSteig
70
72 kgKusztor
79
61 kg
Weight (KG) →
Result →
80
52
15
79
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | NAGY Robert | 52 |
| 43 | DYUDYA Volodymyr | 80 |
| 50 | SZEGHALMI Balint | 66 |
| 64 | GRAF Andreas | 72 |
| 70 | STEIG Csaba | 72 |
| 79 | KUSZTOR Péter | 61 |