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 = -10.3 * weight + 739
This means that on average for every extra kilogram weight a rider loses -10.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WIDAR Jarno | 54 |
| 5 | ZAPATA Mauricio | 62 |
| 7 | GOMEZ Camilo Andres | 64.5 |
| 12 | LIGHTFOOT Mark | 57 |
| 13 | ZANINI Simone | 62 |
| 14 | REY Martín | 65 |
| 19 | ZANUTTA David | 57 |
| 27 | TACHOT Thomas | 61 |
| 991 | REINDERINK Joris | 59 |