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 = 1.5 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Ershov
3
70 kgCañaveral
9
60 kgManakov
23
77 kgMuñoz
42
64 kgStash
52
77 kgEvtushenko
55
72 kgKurbatov
56
73 kg
3
70 kgCañaveral
9
60 kgManakov
23
77 kgMuñoz
42
64 kgStash
52
77 kgEvtushenko
55
72 kgKurbatov
56
73 kg
Weight (KG) →
Result →
77
60
3
56
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ERSHOV Artur | 70 |
| 9 | CAÑAVERAL Johnatan | 60 |
| 23 | MANAKOV Victor | 77 |
| 42 | MUÑOZ William David | 64 |
| 52 | STASH Mamyr | 77 |
| 55 | EVTUSHENKO Alexander | 72 |
| 56 | KURBATOV Alexey | 73 |