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 = -0.7 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Wackermann
2
68 kgLagab
4
63 kgMansouri
5
66 kgAreruya
10
74 kgOkubamariam
12
60 kgAfewerki
17
63 kgMugisha
29
62 kg
2
68 kgLagab
4
63 kgMansouri
5
66 kgAreruya
10
74 kgOkubamariam
12
60 kgAfewerki
17
63 kgMugisha
29
62 kg
Weight (KG) →
Result →
74
60
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WACKERMANN Luca | 68 |
| 4 | LAGAB Azzedine | 63 |
| 5 | MANSOURI Abderrahmane | 66 |
| 10 | ARERUYA Joseph | 74 |
| 12 | OKUBAMARIAM Tesfom | 60 |
| 17 | AFEWERKI Elyas | 63 |
| 29 | MUGISHA Samuel | 62 |