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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Haddi
1
63 kgGaledo
3
58 kgMirza
4
60 kgLagab
5
63 kgChaabane
6
70 kgMancebo
7
64 kgPliușchin
9
66 kg
1
63 kgGaledo
3
58 kgMirza
4
60 kgLagab
5
63 kgChaabane
6
70 kgMancebo
7
64 kgPliușchin
9
66 kg
Weight (KG) →
Result →
70
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDI Soufiane | 63 |
| 3 | GALEDO Mark John Lexer | 58 |
| 4 | MIRZA Yousif | 60 |
| 5 | LAGAB Azzedine | 63 |
| 6 | CHAABANE Hichem | 70 |
| 7 | MANCEBO Francisco | 64 |
| 9 | PLIUȘCHIN Alexandr | 66 |