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 - 9
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Trinkler
12
67 kgDelgado
23
64 kgWechselberger
29
71 kgLuchs
31
68 kgUgrumov
36
58 kgBråthen
45
89 kg
12
67 kgDelgado
23
64 kgWechselberger
29
71 kgLuchs
31
68 kgUgrumov
36
58 kgBråthen
45
89 kg
Weight (KG) →
Result →
89
58
12
45
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | TRINKLER Richard | 67 |
| 23 | DELGADO Pedro | 64 |
| 29 | WECHSELBERGER Helmut | 71 |
| 31 | LUCHS Jürg | 68 |
| 36 | UGRUMOV Piotr | 58 |
| 45 | BRÅTHEN Stein | 89 |