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 = 2.6 * weight - 156
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Božič
2
70 kgRodríguez
6
58 kgMahorič
9
68 kgGazvoda
20
72 kgKvasina
84
72 kg
2
70 kgRodríguez
6
58 kgMahorič
9
68 kgGazvoda
20
72 kgKvasina
84
72 kg
Weight (KG) →
Result →
72
58
2
84
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOŽIČ Borut | 70 |
| 6 | RODRÍGUEZ Jackson | 58 |
| 9 | MAHORIČ Mitja | 68 |
| 20 | GAZVODA Gregor | 72 |
| 84 | KVASINA Matija | 72 |