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 = -2.9 * weight + 228
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Gazvoda
1
72 kgBožič
24
70 kgMahorič
25
68 kgKvasina
42
72 kgMaya
48
58 kgRodríguez
73
58 kg
1
72 kgBožič
24
70 kgMahorič
25
68 kgKvasina
42
72 kgMaya
48
58 kgRodríguez
73
58 kg
Weight (KG) →
Result →
72
58
1
73
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAZVODA Gregor | 72 |
| 24 | BOŽIČ Borut | 70 |
| 25 | MAHORIČ Mitja | 68 |
| 42 | KVASINA Matija | 72 |
| 48 | MAYA Carlos Alberto | 58 |
| 73 | RODRÍGUEZ Jackson | 58 |