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 * weight + 83
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Muñoz
2
64 kgBalykin
8
68 kgLachance
13
72 kgHaas
18
60 kgRojas
20
58 kgCaicedo
42
62 kg
2
64 kgBalykin
8
68 kgLachance
13
72 kgHaas
18
60 kgRojas
20
58 kgCaicedo
42
62 kg
Weight (KG) →
Result →
72
58
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUÑOZ William David | 64 |
| 8 | BALYKIN Ivan | 68 |
| 13 | LACHANCE Jean-Michel | 72 |
| 18 | HAAS Christian | 60 |
| 20 | ROJAS Juan Carlos | 58 |
| 42 | CAICEDO Jonathan Klever | 62 |