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 = 5.5 * weight - 319
This means that on average for every extra kilogram weight a rider loses 5.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAICEDO Jonathan Klever | 62 |
| 5 | MONSALVE Yonathan | 62 |
| 6 | PINZÓN Edgar Andrés | 62 |
| 10 | GÁLVIZ Carlos Johan | 65 |
| 12 | CADENA Edgar David | 63 |
| 14 | ROJAS Brandon Alejandro | 64 |
| 31 | GODOY Yonder | 64 |
| 32 | CAMARGO Diego Andrés | 65 |
| 35 | OSORIO Alejandro | 62 |
| 40 | ZURITA Ricardo Alejandro | 62 |
| 47 | VILORIA Enmanuel David | 64 |
| 61 | SOTO Nelson Andrés | 66 |
| 62 | ARROYAVE Daniel | 68 |
| 64 | REVETE Brayan | 62 |