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 = -8.5 * weight + 611
This means that on average for every extra kilogram weight a rider loses -8.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIDAR Jarno | 54 |
| 3 | MELLANO Ludovico Maria | 65 |
| 5 | NEGRENTE Mattia | 65 |
| 6 | ZANINI Simone | 62 |
| 18 | ZAPATA Mauricio | 62 |
| 19 | LIGHTFOOT Mark | 57 |
| 25 | ZANUTTA David | 57 |
| 29 | MARTÍN Raúl | 56 |
| 35 | GARZÓN Óscar Santiago | 60 |
| 36 | REY Martín | 65 |
| 43 | TACHOT Thomas | 61 |
| 46 | GOMEZ Camilo Andres | 64.5 |
| 991 | REINDERINK Joris | 59 |