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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Mugisha
2
58 kgMuhoza
5
62 kgAït El Abdia
6
66 kgKlopper
14
74 kgAndreev
23
63 kg
2
58 kgMuhoza
5
62 kgAït El Abdia
6
66 kgKlopper
14
74 kgAndreev
23
63 kg
Weight (KG) →
Result →
74
58
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MUGISHA Moise | 58 |
| 5 | MUHOZA Eric | 62 |
| 6 | AÏT EL ABDIA Anass | 66 |
| 14 | KLOPPER Christiaan | 74 |
| 23 | ANDREEV Yordan | 63 |