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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wong
1
65 kgBazayev
2
62 kgMizurov
3
68 kgNishitani
4
62 kgKrupa
8
74 kgWacker
21
65 kgTang
26
62 kgDyachenko
31
65 kg
1
65 kgBazayev
2
62 kgMizurov
3
68 kgNishitani
4
62 kgKrupa
8
74 kgWacker
21
65 kgTang
26
62 kgDyachenko
31
65 kg
Weight (KG) →
Result →
74
62
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WONG Kam-Po | 65 |
| 2 | BAZAYEV Assan | 62 |
| 3 | MIZUROV Andrey | 68 |
| 4 | NISHITANI Taiji | 62 |
| 8 | KRUPA Dawid | 74 |
| 21 | WACKER Eugen | 65 |
| 26 | TANG Wang Yip | 62 |
| 31 | DYACHENKO Alexandr | 65 |