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 = 0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 2 | CHIAPPUCCI Claudio | 67 |
| 6 | SØRENSEN Rolf | 70 |
| 13 | PAGNIN Roberto | 74 |
| 15 | BORTOLAMI Gianluca | 73 |
| 18 | VAN DER POEL Adrie | 70 |
| 20 | BRAMATI Davide | 72 |
| 23 | PEDERSEN Atle | 70 |
| 29 | KELLY Sean | 77 |
| 32 | BALLERINI Franco | 78 |
| 33 | GIANETTI Mauro | 62 |
| 35 | LELLI Massimiliano | 69 |
| 37 | CENGHIALTA Bruno | 73 |
| 39 | DERNIES Michel | 75 |
| 40 | GIUPPONI Flavio | 60 |
| 47 | FONDRIEST Maurizio | 70 |