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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Chaoufi
1
65 kgHaddi
2
63 kgOkubamariam
3
60 kgAfewerki
4
63 kgStalnov
6
63 kgLagab
7
63 kg
1
65 kgHaddi
2
63 kgOkubamariam
3
60 kgAfewerki
4
63 kgStalnov
6
63 kgLagab
7
63 kg
Weight (KG) →
Result →
65
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAOUFI Tarik | 65 |
| 2 | HADDI Soufiane | 63 |
| 3 | OKUBAMARIAM Tesfom | 60 |
| 4 | AFEWERKI Elyas | 63 |
| 6 | STALNOV Nikita | 63 |
| 7 | LAGAB Azzedine | 63 |