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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pöll
3
60 kgSzeghalmi
4
66 kgBárta
7
75 kgGerganov
8
60 kgRiška
14
73 kgČanecký
19
72 kgNagy
28
52 kgvan Groen
30
69 kg
3
60 kgSzeghalmi
4
66 kgBárta
7
75 kgGerganov
8
60 kgRiška
14
73 kgČanecký
19
72 kgNagy
28
52 kgvan Groen
30
69 kg
Weight (KG) →
Result →
75
52
3
30
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PÖLL Stefan | 60 |
| 4 | SZEGHALMI Balint | 66 |
| 7 | BÁRTA Jan | 75 |
| 8 | GERGANOV Evgeni | 60 |
| 14 | RIŠKA Martin | 73 |
| 19 | ČANECKÝ Marek | 72 |
| 28 | NAGY Robert | 52 |
| 30 | VAN GROEN Arnoud | 69 |