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 = -1.2 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Aït El Abdia
3
66 kgKlopper
7
74 kgAndreev
19
63 kgMugisha
23
58 kgMuhoza
25
62 kg
3
66 kgKlopper
7
74 kgAndreev
19
63 kgMugisha
23
58 kgMuhoza
25
62 kg
Weight (KG) →
Result →
74
58
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AÏT EL ABDIA Anass | 66 |
| 7 | KLOPPER Christiaan | 74 |
| 19 | ANDREEV Yordan | 63 |
| 23 | MUGISHA Moise | 58 |
| 25 | MUHOZA Eric | 62 |