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 = 1.4 * weight - 39
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÁLVIZ Carlos Johan | 65 |
| 7 | CÁRDENAS Félix Rafael | 59 |
| 10 | CHACÓN José Isidro | 63 |
| 34 | LINARES Carlos Daniel | 80 |
| 35 | MONSALVE Yonathan | 62 |
| 47 | BUSATO Matteo | 67 |
| 65 | NIETO Edgar | 58 |
| 70 | MILETTA Luigi | 63 |
| 72 | FEDI Andrea | 70 |
| 76 | COLLI Daniele | 73 |
| 78 | CHIRICO Luca | 58 |
| 79 | GUEVARA Manuel Enrique | 65 |
| 82 | CHICCHI Francesco | 76 |
| 84 | BERTAZZO Liam | 75 |
| 85 | DAL COL Andrea | 80 |