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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Riška
1
73 kgGerganov
5
60 kgBárta
6
75 kgNagy
7
52 kgSzeghalmi
8
66 kgPöll
11
60 kgvan Groen
16
69 kgČanecký
29
72 kg
1
73 kgGerganov
5
60 kgBárta
6
75 kgNagy
7
52 kgSzeghalmi
8
66 kgPöll
11
60 kgvan Groen
16
69 kgČanecký
29
72 kg
Weight (KG) →
Result →
75
52
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIŠKA Martin | 73 |
| 5 | GERGANOV Evgeni | 60 |
| 6 | BÁRTA Jan | 75 |
| 7 | NAGY Robert | 52 |
| 8 | SZEGHALMI Balint | 66 |
| 11 | PÖLL Stefan | 60 |
| 16 | VAN GROEN Arnoud | 69 |
| 29 | ČANECKÝ Marek | 72 |