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 = 1.1 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PAREDES Wilmar | 66 |
| 5 | HENAO Sergio | 61 |
| 6 | MAGNO RABELO Euller | 55 |
| 8 | CONTRERAS Rodrigo | 68 |
| 10 | SEVILLA Óscar | 62 |
| 11 | FLOREZ Samuel | 63 |
| 15 | IRIBE Shotaro | 61 |
| 16 | ISHIHARA Yuki | 53 |
| 19 | DE PAULA Victor Cesar | 63 |
| 32 | MUÑOZ Cristian Camilo | 63 |
| 38 | MOLINA Igor Teodoro | 63 |
| 41 | YAMADA Takumi | 63 |
| 46 | GOHR Andre Eduardo | 73 |