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 = 0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Andreev
5
63 kgLéonien
9
58 kgLumparov
25
75 kgKlopper
31
74 kgAngelov
53
59 kg
5
63 kgLéonien
9
58 kgLumparov
25
75 kgKlopper
31
74 kgAngelov
53
59 kg
Weight (KG) →
Result →
75
58
5
53
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ANDREEV Yordan | 63 |
| 9 | LÉONIEN Alexandre | 58 |
| 25 | LUMPAROV Georgi | 75 |
| 31 | KLOPPER Christiaan | 74 |
| 53 | ANGELOV Lachezar | 59 |