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 = 3.9 * weight - 220
This means that on average for every extra kilogram weight a rider loses 3.9 positions in the result.
Rodríguez
10
58 kgMahorič
38
68 kgKvasina
48
72 kgBožič
50
70 kgGazvoda
85
72 kg
10
58 kgMahorič
38
68 kgKvasina
48
72 kgBožič
50
70 kgGazvoda
85
72 kg
Weight (KG) →
Result →
72
58
10
85
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | RODRÍGUEZ Jackson | 58 |
| 38 | MAHORIČ Mitja | 68 |
| 48 | KVASINA Matija | 72 |
| 50 | BOŽIČ Borut | 70 |
| 85 | GAZVODA Gregor | 72 |