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 = 0.5 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CHACÓN José Isidro | 63 |
| 13 | GÁLVIZ Carlos Johan | 65 |
| 31 | MONSALVE Yonathan | 62 |
| 33 | PUJOL Óscar | 58 |
| 38 | GODOY Yonder | 64 |
| 42 | OCHOA Carlos José | 62 |
| 47 | RODRÍGUEZ Jackson | 58 |
| 49 | CÁRDENAS Félix Rafael | 59 |
| 62 | HULSMANS Kevin | 75 |
| 76 | KERS Koos Jeroen | 71 |
| 84 | MERLO Michele | 63 |
| 86 | MILETTA Luigi | 63 |
| 88 | GIL MARTINEZ Tomas Aurelio | 60 |
| 89 | UBETO Miguel Armando | 60 |