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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Ramirez
2
71 kgOchoa
5
62 kgRojas
13
58 kgAmador
17
73 kgGuevara
22
65 kgRaabe
31
71 kg
2
71 kgOchoa
5
62 kgRojas
13
58 kgAmador
17
73 kgGuevara
22
65 kgRaabe
31
71 kg
Weight (KG) →
Result →
73
58
2
31
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAMIREZ Federico | 71 |
| 5 | OCHOA Carlos José | 62 |
| 13 | ROJAS Juan Carlos | 58 |
| 17 | AMADOR Andrey | 73 |
| 22 | GUEVARA Manuel Enrique | 65 |
| 31 | RAABE Henry | 71 |