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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Nagy
1
52 kgBárta
2
75 kgČanecký
3
72 kgRiška
13
73 kgvan Groen
15
69 kgPöll
16
60 kgGerganov
33
60 kgSzeghalmi
41
66 kg
1
52 kgBárta
2
75 kgČanecký
3
72 kgRiška
13
73 kgvan Groen
15
69 kgPöll
16
60 kgGerganov
33
60 kgSzeghalmi
41
66 kg
Weight (KG) →
Result →
75
52
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAGY Robert | 52 |
| 2 | BÁRTA Jan | 75 |
| 3 | ČANECKÝ Marek | 72 |
| 13 | RIŠKA Martin | 73 |
| 15 | VAN GROEN Arnoud | 69 |
| 16 | PÖLL Stefan | 60 |
| 33 | GERGANOV Evgeni | 60 |
| 41 | SZEGHALMI Balint | 66 |