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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATTAN Nico | 69 |
| 2 | SACCHI Fabio | 68 |
| 3 | PRONK Matthé | 73 |
| 4 | PAOLINI Luca | 66 |
| 5 | RADAELLI Mauro | 67 |
| 8 | VALOTI Paolo | 64 |
| 9 | SØRENSEN Nicki | 71 |
| 10 | JAKSCHE Jörg | 69 |
| 11 | ROGERS Michael | 74 |
| 12 | SHEFER Alexandre | 68 |
| 13 | PEERS Chris | 73 |
| 14 | BELOHVOŠČIKS Raivis | 70 |
| 16 | SERINA Corrado | 73 |
| 17 | ARROYO David | 63 |