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 = -0.1 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FLOREZ Samuel | 63 |
| 6 | PAREDES Wilmar | 66 |
| 8 | IRIBE Shotaro | 61 |
| 11 | CONTRERAS Rodrigo | 68 |
| 12 | HENAO Sergio | 61 |
| 13 | SEVILLA Óscar | 62 |
| 16 | DE PAULA Victor Cesar | 63 |
| 27 | MAGNO RABELO Euller | 55 |
| 28 | MOLINA Igor Teodoro | 63 |
| 29 | YAMADA Takumi | 63 |
| 30 | MUÑOZ Cristian Camilo | 63 |
| 41 | ISHIHARA Yuki | 53 |
| 47 | GOHR Andre Eduardo | 73 |