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 = 1.5 * weight - 80
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Rodas
1
68 kgBonilla
12
73 kgPerez Cuapio
14
58 kgRamirez
19
71 kgRaabe
29
71 kgLachance
48
72 kgSánchez
56
72 kg
1
68 kgBonilla
12
73 kgPerez Cuapio
14
58 kgRamirez
19
71 kgRaabe
29
71 kgLachance
48
72 kgSánchez
56
72 kg
Weight (KG) →
Result →
73
58
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODAS Manuel | 68 |
| 12 | BONILLA José Adrián | 73 |
| 14 | PEREZ CUAPIO Julio Alberto | 58 |
| 19 | RAMIREZ Federico | 71 |
| 29 | RAABE Henry | 71 |
| 48 | LACHANCE Jean-Michel | 72 |
| 56 | SÁNCHEZ Augusto | 72 |