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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAL Egan | 60 |
| 2 | CAMARGO Diego Andrés | 65 |
| 4 | RUBIO Einer | 56 |
| 5 | RIVERA Brandon Smith | 60 |
| 6 | HENAO Sergio | 61 |
| 7 | LÓPEZ Robinson Fabián | 61 |
| 8 | PAREDES Wilmar | 66 |
| 10 | MUÑOZ Cristian Camilo | 63 |
| 13 | PIRA Yesid Albeiro | 59 |
| 16 | ACOSTA Ruben Dario | 58 |
| 17 | CONTRERAS Rodrigo | 68 |
| 20 | SIERRA Yecid Arturo | 66 |
| 24 | GARZON Marlon David | 62 |
| 27 | PINZÓN Edgar Andrés | 62 |