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 = 2.7 * weight - 143
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Rojas
1
58 kgCaicedo
12
62 kgHaas
23
60 kgLachance
36
72 kgMuñoz
42
64 kgBalykin
49
68 kg
1
58 kgCaicedo
12
62 kgHaas
23
60 kgLachance
36
72 kgMuñoz
42
64 kgBalykin
49
68 kg
Weight (KG) →
Result →
72
58
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 12 | CAICEDO Jonathan Klever | 62 |
| 23 | HAAS Christian | 60 |
| 36 | LACHANCE Jean-Michel | 72 |
| 42 | MUÑOZ William David | 64 |
| 49 | BALYKIN Ivan | 68 |