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 = 0.5 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Balykin
8
68 kgMuñoz
11
64 kgRojas
19
58 kgHaas
40
60 kgCaicedo
50
62 kgLachance
52
72 kg
8
68 kgMuñoz
11
64 kgRojas
19
58 kgHaas
40
60 kgCaicedo
50
62 kgLachance
52
72 kg
Weight (KG) →
Result →
72
58
8
52
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BALYKIN Ivan | 68 |
| 11 | MUÑOZ William David | 64 |
| 19 | ROJAS Juan Carlos | 58 |
| 40 | HAAS Christian | 60 |
| 50 | CAICEDO Jonathan Klever | 62 |
| 52 | LACHANCE Jean-Michel | 72 |