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 - 101
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Rojas
2
58 kgCaicedo
18
62 kgBalykin
29
68 kgMuñoz
38
64 kgHaas
47
60 kgLachance
50
72 kg
2
58 kgCaicedo
18
62 kgBalykin
29
68 kgMuñoz
38
64 kgHaas
47
60 kgLachance
50
72 kg
Weight (KG) →
Result →
72
58
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 18 | CAICEDO Jonathan Klever | 62 |
| 29 | BALYKIN Ivan | 68 |
| 38 | MUÑOZ William David | 64 |
| 47 | HAAS Christian | 60 |
| 50 | LACHANCE Jean-Michel | 72 |