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 = 0.7 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Angelov
2
59 kgKlopper
10
74 kgLéonien
16
58 kgAndreev
21
63 kgLumparov
33
75 kg
2
59 kgKlopper
10
74 kgLéonien
16
58 kgAndreev
21
63 kgLumparov
33
75 kg
Weight (KG) →
Result →
75
58
2
33
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANGELOV Lachezar | 59 |
| 10 | KLOPPER Christiaan | 74 |
| 16 | LÉONIEN Alexandre | 58 |
| 21 | ANDREEV Yordan | 63 |
| 33 | LUMPAROV Georgi | 75 |