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 = 0.8 * weight - 55
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Bárta
1
75 kgŠtybar
2
68 kgRaboň
3
74 kgKadlec
4
70 kgKaňkovský
15
83 kg
1
75 kgŠtybar
2
68 kgRaboň
3
74 kgKadlec
4
70 kgKaňkovský
15
83 kg
Weight (KG) →
Result →
83
68
1
15
# | Rider | Weight (KG) |
---|---|---|
1 | BÁRTA Jan | 75 |
2 | ŠTYBAR Zdeněk | 68 |
3 | RABOŇ František | 74 |
4 | KADLEC Milan | 70 |
15 | KAŇKOVSKÝ Alois | 83 |