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 = 0.7 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOTO Nelson Andrés | 66 |
| 4 | DUARTE Fabio | 55 |
| 5 | REYES Aldemar | 55 |
| 7 | BOHÓRQUEZ Hernando | 68 |
| 10 | AGUIRRE Hernán Ricardo | 55 |
| 12 | OCHOA Diego Antonio | 61 |
| 15 | SIERRA Yecid Arturo | 66 |
| 25 | ACOSTA Ruben Dario | 58 |
| 26 | SEVILLA Óscar | 62 |
| 28 | BUSTAMANTE Adrián | 65 |
| 29 | ATAPUMA Darwin | 59 |
| 33 | CADENA Edgar David | 63 |
| 34 | CHAPARRO Didier | 54 |
| 36 | SUAZA Bernardo | 66 |
| 38 | RODRÍGUEZ Jhon Anderson | 62 |
| 41 | CONTRERAS Rodrigo | 68 |
| 42 | OSORIO Juan Felipe | 65 |