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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Brenes
2
66 kgChumil
4
62 kgGuamá
6
61 kgParra
9
51 kgRivera
10
56 kgRodas
25
68 kgAlba
34
59 kgAcosta
48
58 kg
2
66 kgChumil
4
62 kgGuamá
6
61 kgParra
9
51 kgRivera
10
56 kgRodas
25
68 kgAlba
34
59 kgAcosta
48
58 kg
Weight (KG) →
Result →
68
51
2
48
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRENES Sebastian | 66 |
| 4 | CHUMIL Sergio Geovani | 62 |
| 6 | GUAMÁ Byron | 61 |
| 9 | PARRA Heiner Rodrigo | 51 |
| 10 | RIVERA Kevin | 56 |
| 25 | RODAS Manuel | 68 |
| 34 | ALBA Juan Diego | 59 |
| 48 | ACOSTA Ruben Dario | 58 |