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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Guamá
1
61 kgMcGeough
2
76 kgAcosta
5
58 kgBrenes
13
66 kgChumil
14
62 kgPrado
24
65 kg
1
61 kgMcGeough
2
76 kgAcosta
5
58 kgBrenes
13
66 kgChumil
14
62 kgPrado
24
65 kg
Weight (KG) →
Result →
76
58
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUAMÁ Byron | 61 |
| 2 | MCGEOUGH Cormac | 76 |
| 5 | ACOSTA Ruben Dario | 58 |
| 13 | BRENES Sebastian | 66 |
| 14 | CHUMIL Sergio Geovani | 62 |
| 24 | PRADO Ignacio de Jesús | 65 |