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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARZELLI Stefano | 62 |
| 2 | SERPA José Rodolfo | 64 |
| 3 | BALIANI Fortunato | 66 |
| 5 | NIBALI Vincenzo | 65 |
| 6 | GIUNTI Massimo | 62 |
| 7 | FREI Thomas | 71 |
| 8 | EVANS Cadel | 64 |
| 9 | POSSONI Morris | 56 |
| 10 | SALERNO Cristiano | 64 |
| 11 | PINOTTI Marco | 67 |
| 13 | SIUTSOU Kanstantsin | 68 |
| 14 | NIEMIEC Przemysław | 62 |
| 15 | KUNITSKI Andrei | 72 |