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 = -2.1 * weight + 156
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAROLI Daniele | 77 |
| 3 | SØRENSEN Rolf | 70 |
| 4 | BAFFI Adriano | 70 |
| 12 | FONDRIEST Maurizio | 70 |
| 16 | BUGNO Gianni | 68 |
| 22 | GAVAZZI Pierino | 67 |
| 23 | ARGENTIN Moreno | 66 |
| 25 | VANDI Alfio | 64 |