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 = 1.1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Léonien
6
58 kgAndreev
9
63 kgAngelov
26
59 kgKlopper
30
74 kgLumparov
32
75 kg
6
58 kgAndreev
9
63 kgAngelov
26
59 kgKlopper
30
74 kgLumparov
32
75 kg
Weight (KG) →
Result →
75
58
6
32
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | LÉONIEN Alexandre | 58 |
| 9 | ANDREEV Yordan | 63 |
| 26 | ANGELOV Lachezar | 59 |
| 30 | KLOPPER Christiaan | 74 |
| 32 | LUMPAROV Georgi | 75 |