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 = 2.5 * weight - 102
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GÁLVIZ Carlos Johan | 65 |
| 8 | CÁRDENAS Félix Rafael | 59 |
| 10 | CHACÓN José Isidro | 63 |
| 37 | MONSALVE Yonathan | 62 |
| 46 | CHIRICO Luca | 58 |
| 49 | GODOY Yonder | 64 |
| 59 | NIETO Edgar | 58 |
| 63 | GUEVARA Manuel Enrique | 65 |
| 65 | BUSATO Matteo | 67 |
| 66 | GIL MARTINEZ Tomas Aurelio | 60 |
| 83 | DAL COL Andrea | 80 |
| 86 | CHICCHI Francesco | 76 |
| 87 | CARRETERO Ramón | 62 |
| 88 | COLLI Daniele | 73 |
| 89 | FEDI Andrea | 70 |
| 90 | MILETTA Luigi | 63 |
| 91 | BERTAZZO Liam | 75 |