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 = -0.8 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Fomovskiy
1
82 kgBocharov
6
72 kgKubiš
10
70 kgNaser
14
62 kgHamdan
17
66 kgAlabdulmunim
22
64 kgChren
25
72 kg
1
82 kgBocharov
6
72 kgKubiš
10
70 kgNaser
14
62 kgHamdan
17
66 kgAlabdulmunim
22
64 kgChren
25
72 kg
Weight (KG) →
Result →
82
62
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOMOVSKIY Aleksey | 82 |
| 6 | BOCHAROV Dmitriy | 72 |
| 10 | KUBIŠ Lukáš | 70 |
| 14 | NASER Ahmed | 62 |
| 17 | HAMDAN Wan Abdul Rahman | 66 |
| 22 | ALABDULMUNIM Azzam | 64 |
| 25 | CHREN Martin | 72 |