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 = 1.6 * weight - 82
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Guamá
2
61 kgRivera
4
56 kgChumil
7
62 kgParra
9
51 kgAlba
28
59 kgRodas
33
68 kgBrenes
38
66 kg
2
61 kgRivera
4
56 kgChumil
7
62 kgParra
9
51 kgAlba
28
59 kgRodas
33
68 kgBrenes
38
66 kg
Weight (KG) →
Result →
68
51
2
38
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 4 | RIVERA Kevin | 56 |
| 7 | CHUMIL Sergio Geovani | 62 |
| 9 | PARRA Heiner Rodrigo | 51 |
| 28 | ALBA Juan Diego | 59 |
| 33 | RODAS Manuel | 68 |
| 38 | BRENES Sebastian | 66 |