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 = 2.1 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Cañaveral
4
60 kgManakov
13
77 kgErshov
27
70 kgMuñoz
29
64 kgEvtushenko
51
72 kgStash
64
77 kgKurbatov
68
73 kg
4
60 kgManakov
13
77 kgErshov
27
70 kgMuñoz
29
64 kgEvtushenko
51
72 kgStash
64
77 kgKurbatov
68
73 kg
Weight (KG) →
Result →
77
60
4
68
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CAÑAVERAL Johnatan | 60 |
| 13 | MANAKOV Victor | 77 |
| 27 | ERSHOV Artur | 70 |
| 29 | MUÑOZ William David | 64 |
| 51 | EVTUSHENKO Alexander | 72 |
| 64 | STASH Mamyr | 77 |
| 68 | KURBATOV Alexey | 73 |