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 = 1.1 * weight - 44
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUGNO Gianni | 68 |
| 6 | VAN DER POEL Adrie | 70 |
| 8 | BARONCHELLI Gianbattista | 72 |
| 9 | CENGHIALTA Bruno | 73 |
| 11 | ROMINGER Tony | 65 |
| 15 | GAVAZZI Pierino | 67 |
| 16 | SØRENSEN Rolf | 70 |
| 18 | VANDI Alfio | 64 |
| 29 | GIUPPONI Flavio | 60 |
| 46 | CHIAPPUCCI Claudio | 67 |
| 48 | ALGERI Vittorio | 68 |
| 55 | CAROLI Daniele | 77 |
| 66 | IMBODEN Heinz | 70 |
| 73 | DEMIERRE Serge | 70 |