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 = 0.4 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Aït El Abdia
2
66 kgMuhoza
7
62 kgMugisha
9
58 kgKlopper
18
74 kgAndreev
22
63 kg
2
66 kgMuhoza
7
62 kgMugisha
9
58 kgKlopper
18
74 kgAndreev
22
63 kg
Weight (KG) →
Result →
74
58
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AÏT EL ABDIA Anass | 66 |
| 7 | MUHOZA Eric | 62 |
| 9 | MUGISHA Moise | 58 |
| 18 | KLOPPER Christiaan | 74 |
| 22 | ANDREEV Yordan | 63 |