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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 3 | SØRENSEN Rolf | 70 |
| 5 | SARONNI Giuseppe | 65 |
| 8 | CAROLI Daniele | 77 |
| 9 | MADIOT Marc | 68 |
| 11 | ROMINGER Tony | 65 |
| 17 | VANDERAERDEN Eric | 74 |
| 19 | ELLI Alberto | 71 |
| 23 | VAN DER POEL Adrie | 70 |
| 25 | ARGENTIN Moreno | 66 |
| 28 | BUGNO Gianni | 68 |