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 = -1.2 * weight + 144
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TOFFALI Nicola | 75 |
| 6 | MARTINELLI Davide | 71 |
| 8 | TIZZA Marco | 58 |
| 25 | WACKERMANN Luca | 68 |
| 53 | ANOBILE Fabio | 75 |
| 55 | THEVENOT Guillaume | 69 |
| 57 | PELLAUD Simon | 70 |
| 60 | AYAZBAYEV Maxat | 75 |
| 67 | PIBERNIK Luka | 60 |
| 74 | BAILLIFARD Valentin | 54 |
| 82 | SUTER Gaël | 70 |
| 100 | GABBURO Davide | 63 |
| 124 | STERBINI Luca | 72 |
| 125 | CONTI Valerio | 61 |
| 126 | STERBINI Simone | 67 |