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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bazhkou
1
65 kgMoazemi
3
70 kgPourhashemi
4
64 kgKazemi
6
71 kgKolahdozhagh
6
60 kgFranck
8
86 kg
1
65 kgMoazemi
3
70 kgPourhashemi
4
64 kgKazemi
6
71 kgKolahdozhagh
6
60 kgFranck
8
86 kg
Weight (KG) →
Result →
86
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 3 | MOAZEMI Arvin | 70 |
| 4 | POURHASHEMI Hamid | 64 |
| 6 | KAZEMI Sarai Ahad | 71 |
| 6 | KOLAHDOZHAGH Amir | 60 |
| 8 | FRANCK Eamon Lucas | 86 |