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 + 52
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Muravyev
10
75 kgCobo
17
62 kgPérez
19
70 kgVan Hecke
21
69 kgAranaga
22
60 kg
10
75 kgCobo
17
62 kgPérez
19
70 kgVan Hecke
21
69 kgAranaga
22
60 kg
Weight (KG) →
Result →
75
60
10
22
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | MURAVYEV Dmitriy | 75 |
| 17 | COBO Juan José | 62 |
| 19 | PÉREZ Aitor | 70 |
| 21 | VAN HECKE Preben | 69 |
| 22 | ARANAGA Andoni | 60 |