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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Riška
4
73 kgBárta
5
75 kgNagy
6
52 kgvan Groen
10
69 kgČanecký
14
72 kgGerganov
17
60 kgSzeghalmi
22
66 kg
4
73 kgBárta
5
75 kgNagy
6
52 kgvan Groen
10
69 kgČanecký
14
72 kgGerganov
17
60 kgSzeghalmi
22
66 kg
Weight (KG) →
Result →
75
52
4
22
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | RIŠKA Martin | 73 |
| 5 | BÁRTA Jan | 75 |
| 6 | NAGY Robert | 52 |
| 10 | VAN GROEN Arnoud | 69 |
| 14 | ČANECKÝ Marek | 72 |
| 17 | GERGANOV Evgeni | 60 |
| 22 | SZEGHALMI Balint | 66 |