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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRISTOFF Alexander | 78 |
| 2 | COQUARD Bryan | 59 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | NIZZOLO Giacomo | 72 |
| 5 | BONIFAZIO Niccolò | 72 |
| 6 | SCHÄR Michael | 78 |
| 7 | ARISTI Mikel | 72 |
| 8 | GUERIN Alexis | 64 |
| 9 | VAN POPPEL Boy | 78 |
| 10 | BALLERINI Davide | 71 |
| 11 | PLANCKAERT Emiel | 69 |
| 12 | CAPIOT Amaury | 69 |
| 13 | LIEPIŅŠ Emīls | 67 |