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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIDAR Jarno | 54 |
| 2 | NEGRENTE Mattia | 65 |
| 9 | MELLANO Ludovico Maria | 65 |
| 11 | ZANINI Simone | 62 |
| 12 | ZANUTTA David | 57 |
| 13 | VÉLEZ Cristian Damián | 66 |
| 22 | LIGHTFOOT Mark | 57 |
| 25 | REINDERINK Joris | 59 |
| 28 | TACHOT Thomas | 61 |