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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Samoilau
1
77 kgAït El Abdia
5
66 kgKoning
6
77 kgAsadov
11
77 kgIvashkin
12
73 kgCarstensen
15
69 kg
1
77 kgAït El Abdia
5
66 kgKoning
6
77 kgAsadov
11
77 kgIvashkin
12
73 kgCarstensen
15
69 kg
Weight (KG) →
Result →
77
66
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAMOILAU Branislau | 77 |
| 5 | AÏT EL ABDIA Anass | 66 |
| 6 | KONING Peter | 77 |
| 11 | ASADOV Elchin | 77 |
| 12 | IVASHKIN Anton | 73 |
| 15 | CARSTENSEN Lucas | 69 |