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 + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gazvoda
15
72 kgKvasina
18
72 kgRodríguez
20
58 kgBožič
23
70 kgMahorič
31
68 kg
15
72 kgKvasina
18
72 kgRodríguez
20
58 kgBožič
23
70 kgMahorič
31
68 kg
Weight (KG) →
Result →
72
58
15
31
# | Rider | Weight (KG) |
---|---|---|
15 | GAZVODA Gregor | 72 |
18 | KVASINA Matija | 72 |
20 | RODRÍGUEZ Jackson | 58 |
23 | BOŽIČ Borut | 70 |
31 | MAHORIČ Mitja | 68 |