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 = -0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Forssell
1
86 kgKonychev
2
76 kgEdmondson
5
75 kgPetruš
6
64 kgPawlak
7
81 kg
1
86 kgKonychev
2
76 kgEdmondson
5
75 kgPetruš
6
64 kgPawlak
7
81 kg
Weight (KG) →
Result →
86
64
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORSSELL Hugo | 86 |
| 2 | KONYCHEV Alexander | 76 |
| 5 | EDMONDSON Alex | 75 |
| 6 | PETRUŠ Jiří | 64 |
| 7 | PAWLAK Tobiasz | 81 |