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 = 6.4 * weight - 384
This means that on average for every extra kilogram weight a rider loses 6.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OSORIO Alejandro | 62 |
| 2 | MONSALVE Yonathan | 62 |
| 7 | CAICEDO Jonathan Klever | 62 |
| 10 | ZURITA Ricardo Alejandro | 62 |
| 14 | CADENA Edgar David | 63 |
| 15 | PINZÓN Edgar Andrés | 62 |
| 21 | GÁLVIZ Carlos Johan | 65 |
| 25 | ROJAS Brandon Alejandro | 64 |
| 30 | GODOY Yonder | 64 |
| 32 | VILORIA Enmanuel David | 64 |
| 43 | CAMARGO Diego Andrés | 65 |
| 50 | ARROYAVE Daniel | 68 |
| 51 | SOTO Nelson Andrés | 66 |
| 60 | REVETE Brayan | 62 |