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 = 1.4 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Ochoa
10
62 kgRamirez
11
71 kgRojas
14
58 kgAmador
27
73 kgGuevara
30
65 kgRaabe
56
71 kg
10
62 kgRamirez
11
71 kgRojas
14
58 kgAmador
27
73 kgGuevara
30
65 kgRaabe
56
71 kg
Weight (KG) →
Result →
73
58
10
56
# | Rider | Weight (KG) |
---|---|---|
10 | OCHOA Carlos José | 62 |
11 | RAMIREZ Federico | 71 |
14 | ROJAS Juan Carlos | 58 |
27 | AMADOR Andrey | 73 |
30 | GUEVARA Manuel Enrique | 65 |
56 | RAABE Henry | 71 |