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 = -0.4 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bárta
2
75 kgGerganov
4
60 kgSzeghalmi
8
66 kgPöll
9
60 kgČanecký
23
72 kgvan Groen
25
69 kgRiška
40
73 kgNagy
45
52 kg
2
75 kgGerganov
4
60 kgSzeghalmi
8
66 kgPöll
9
60 kgČanecký
23
72 kgvan Groen
25
69 kgRiška
40
73 kgNagy
45
52 kg
Weight (KG) →
Result →
75
52
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BÁRTA Jan | 75 |
| 4 | GERGANOV Evgeni | 60 |
| 8 | SZEGHALMI Balint | 66 |
| 9 | PÖLL Stefan | 60 |
| 23 | ČANECKÝ Marek | 72 |
| 25 | VAN GROEN Arnoud | 69 |
| 40 | RIŠKA Martin | 73 |
| 45 | NAGY Robert | 52 |