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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
van Groen
2
69 kgRiška
8
73 kgBárta
9
75 kgGerganov
15
60 kgPöll
16
60 kgČanecký
18
72 kgSzeghalmi
19
66 kgNagy
21
52 kg
2
69 kgRiška
8
73 kgBárta
9
75 kgGerganov
15
60 kgPöll
16
60 kgČanecký
18
72 kgSzeghalmi
19
66 kgNagy
21
52 kg
Weight (KG) →
Result →
75
52
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN GROEN Arnoud | 69 |
| 8 | RIŠKA Martin | 73 |
| 9 | BÁRTA Jan | 75 |
| 15 | GERGANOV Evgeni | 60 |
| 16 | PÖLL Stefan | 60 |
| 18 | ČANECKÝ Marek | 72 |
| 19 | SZEGHALMI Balint | 66 |
| 21 | NAGY Robert | 52 |