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 = 0.5 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENAO Sergio | 61 |
| 2 | PAREDES Wilmar | 66 |
| 3 | SEVILLA Óscar | 62 |
| 6 | FLOREZ Samuel | 63 |
| 7 | CONTRERAS Rodrigo | 68 |
| 12 | IRIBE Shotaro | 61 |
| 16 | MAGNO RABELO Euller | 55 |
| 23 | DE PAULA Victor Cesar | 63 |
| 27 | MUÑOZ Cristian Camilo | 63 |
| 28 | MOLINA Igor Teodoro | 63 |
| 31 | ISHIHARA Yuki | 53 |
| 35 | YAMADA Takumi | 63 |
| 49 | GOHR Andre Eduardo | 73 |