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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 3 | BAUER Steve | 72 |
| 4 | FONDRIEST Maurizio | 70 |
| 5 | KELLY Sean | 77 |
| 6 | VAN DER POEL Adrie | 70 |
| 8 | SØRENSEN Rolf | 70 |
| 9 | BUGNO Gianni | 68 |
| 11 | PAGNIN Roberto | 74 |
| 14 | GIANETTI Mauro | 62 |
| 17 | BALLERINI Franco | 78 |
| 21 | GAVAZZI Pierino | 67 |
| 23 | JÄRMANN Rolf | 73 |
| 29 | ARGENTIN Moreno | 66 |