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 = -0.8 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Guamá
1
61 kgChumil
2
62 kgRivera
6
56 kgBrenes
8
66 kgAcosta
14
58 kgParra
17
51 kgAlba
19
59 kg
1
61 kgChumil
2
62 kgRivera
6
56 kgBrenes
8
66 kgAcosta
14
58 kgParra
17
51 kgAlba
19
59 kg
Weight (KG) →
Result →
66
51
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | CHUMIL Sergio Geovani | 62 |
| 6 | RIVERA Kevin | 56 |
| 8 | BRENES Sebastian | 66 |
| 14 | ACOSTA Ruben Dario | 58 |
| 17 | PARRA Heiner Rodrigo | 51 |
| 19 | ALBA Juan Diego | 59 |