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 - 68
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Mugisha
1
58 kgAndreev
3
63 kgAït El Abdia
4
66 kgMuhoza
9
62 kgKlopper
21
74 kg
1
58 kgAndreev
3
63 kgAït El Abdia
4
66 kgMuhoza
9
62 kgKlopper
21
74 kg
Weight (KG) →
Result →
74
58
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGISHA Moise | 58 |
| 3 | ANDREEV Yordan | 63 |
| 4 | AÏT EL ABDIA Anass | 66 |
| 9 | MUHOZA Eric | 62 |
| 21 | KLOPPER Christiaan | 74 |