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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Andreev
1
63 kgMugisha
4
58 kgMuhoza
11
62 kgKlopper
12
74 kgAït El Abdia
15
66 kg
1
63 kgMugisha
4
58 kgMuhoza
11
62 kgKlopper
12
74 kgAït El Abdia
15
66 kg
Weight (KG) →
Result →
74
58
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDREEV Yordan | 63 |
| 4 | MUGISHA Moise | 58 |
| 11 | MUHOZA Eric | 62 |
| 12 | KLOPPER Christiaan | 74 |
| 15 | AÏT EL ABDIA Anass | 66 |