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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Monk
1
67 kgBole
2
69 kgPascual
3
66 kgSainbayar
5
60 kgFomovskiy
7
82 kgBocharov
8
72 kg
1
67 kgBole
2
69 kgPascual
3
66 kgSainbayar
5
60 kgFomovskiy
7
82 kgBocharov
8
72 kg
Weight (KG) →
Result →
82
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONK Cyrus | 67 |
| 2 | BOLE Grega | 69 |
| 3 | PASCUAL Eusebio | 66 |
| 5 | SAINBAYAR Jambaljamts | 60 |
| 7 | FOMOVSKIY Aleksey | 82 |
| 8 | BOCHAROV Dmitriy | 72 |