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 = 1.5 * weight - 81
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Aït El Abdia
2
66 kgMugisha
4
58 kgMuhoza
5
62 kgAndreev
23
63 kgKlopper
30
74 kg
2
66 kgMugisha
4
58 kgMuhoza
5
62 kgAndreev
23
63 kgKlopper
30
74 kg
Weight (KG) →
Result →
74
58
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AÏT EL ABDIA Anass | 66 |
| 4 | MUGISHA Moise | 58 |
| 5 | MUHOZA Eric | 62 |
| 23 | ANDREEV Yordan | 63 |
| 30 | KLOPPER Christiaan | 74 |