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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Riška
2
73 kgGerganov
4
60 kgBárta
6
75 kgČanecký
26
72 kgSzeghalmi
27
66 kgPöll
28
60 kgvan Groen
32
69 kgNagy
36
52 kg
2
73 kgGerganov
4
60 kgBárta
6
75 kgČanecký
26
72 kgSzeghalmi
27
66 kgPöll
28
60 kgvan Groen
32
69 kgNagy
36
52 kg
Weight (KG) →
Result →
75
52
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RIŠKA Martin | 73 |
| 4 | GERGANOV Evgeni | 60 |
| 6 | BÁRTA Jan | 75 |
| 26 | ČANECKÝ Marek | 72 |
| 27 | SZEGHALMI Balint | 66 |
| 28 | PÖLL Stefan | 60 |
| 32 | VAN GROEN Arnoud | 69 |
| 36 | NAGY Robert | 52 |