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 - 6
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENAO Sergio | 61 |
| 2 | PAREDES Wilmar | 66 |
| 3 | SEVILLA Óscar | 62 |
| 7 | MOLINA Igor Teodoro | 63 |
| 11 | MAGNO RABELO Euller | 55 |
| 12 | MUÑOZ Cristian Camilo | 63 |
| 14 | CONTRERAS Rodrigo | 68 |
| 23 | IRIBE Shotaro | 61 |
| 25 | FLOREZ Samuel | 63 |
| 33 | DE PAULA Victor Cesar | 63 |
| 44 | YAMADA Takumi | 63 |
| 46 | ISHIHARA Yuki | 53 |
| 55 | GOHR Andre Eduardo | 73 |