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 = 2.2 * weight - 91
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GÁLVIZ Carlos Johan | 65 |
| 8 | GODOY Yonder | 64 |
| 9 | MONSALVE Yonathan | 62 |
| 15 | OCHOA Carlos José | 62 |
| 49 | RODRÍGUEZ Jackson | 58 |
| 53 | ANDRIATO Rafael | 67 |
| 56 | LINARES Carlos Daniel | 80 |
| 72 | UBETO Miguel Armando | 60 |
| 91 | BERTAZZO Omar | 78 |
| 94 | GIL MARTINEZ Tomas Aurelio | 60 |
| 99 | VAN HUMMEL Kenny | 64 |
| 102 | CHICCHI Francesco | 76 |
| 111 | DAL COL Andrea | 80 |