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 = 3.1 * weight - 152
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Rojas
5
58 kgCaicedo
28
62 kgBalykin
53
68 kgHaas
54
60 kgLachance
64
72 kgMuñoz
74
64 kg
5
58 kgCaicedo
28
62 kgBalykin
53
68 kgHaas
54
60 kgLachance
64
72 kgMuñoz
74
64 kg
Weight (KG) →
Result →
72
58
5
74
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ROJAS Juan Carlos | 58 |
| 28 | CAICEDO Jonathan Klever | 62 |
| 53 | BALYKIN Ivan | 68 |
| 54 | HAAS Christian | 60 |
| 64 | LACHANCE Jean-Michel | 72 |
| 74 | MUÑOZ William David | 64 |