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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Wackermann
1
68 kgMansouri
3
66 kgAfewerki
6
63 kgOkubamariam
12
60 kgLagab
15
63 kgAreruya
19
74 kgMugisha
29
62 kg
1
68 kgMansouri
3
66 kgAfewerki
6
63 kgOkubamariam
12
60 kgLagab
15
63 kgAreruya
19
74 kgMugisha
29
62 kg
Weight (KG) →
Result →
74
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WACKERMANN Luca | 68 |
| 3 | MANSOURI Abderrahmane | 66 |
| 6 | AFEWERKI Elyas | 63 |
| 12 | OKUBAMARIAM Tesfom | 60 |
| 15 | LAGAB Azzedine | 63 |
| 19 | ARERUYA Joseph | 74 |
| 29 | MUGISHA Samuel | 62 |