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 = 0.9 * weight - 49
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Aït El Abdia
2
66 kgMugisha
3
58 kgMuhoza
6
62 kgAndreev
12
63 kgKlopper
19
74 kg
2
66 kgMugisha
3
58 kgMuhoza
6
62 kgAndreev
12
63 kgKlopper
19
74 kg
Weight (KG) →
Result →
74
58
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AÏT EL ABDIA Anass | 66 |
| 3 | MUGISHA Moise | 58 |
| 6 | MUHOZA Eric | 62 |
| 12 | ANDREEV Yordan | 63 |
| 19 | KLOPPER Christiaan | 74 |