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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Haddi
1
63 kgMirza
2
60 kgGaledo
3
58 kgLagab
5
63 kgMancebo
6
64 kgPliușchin
8
66 kg
1
63 kgMirza
2
60 kgGaledo
3
58 kgLagab
5
63 kgMancebo
6
64 kgPliușchin
8
66 kg
Weight (KG) →
Result →
66
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HADDI Soufiane | 63 |
| 2 | MIRZA Yousif | 60 |
| 3 | GALEDO Mark John Lexer | 58 |
| 5 | LAGAB Azzedine | 63 |
| 6 | MANCEBO Francisco | 64 |
| 8 | PLIUȘCHIN Alexandr | 66 |