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 + 7
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Szeghalmi
18
66 kgKusztor
34
61 kgDyudya
43
80 kgNagy
50
52 kgGraf
76
72 kgSteig
78
72 kg
18
66 kgKusztor
34
61 kgDyudya
43
80 kgNagy
50
52 kgGraf
76
72 kgSteig
78
72 kg
Weight (KG) →
Result →
80
52
18
78
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | SZEGHALMI Balint | 66 |
| 34 | KUSZTOR Péter | 61 |
| 43 | DYUDYA Volodymyr | 80 |
| 50 | NAGY Robert | 52 |
| 76 | GRAF Andreas | 72 |
| 78 | STEIG Csaba | 72 |