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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RICCITELLO Matthew | 55 |
| 3 | PIGANZOLI Davide | 61 |
| 4 | SEIXAS Paul | 61 |
| 5 | HERZOG Emil | 74 |
| 6 | HOFBAUER Philipp | 70 |
| 9 | VANHUFFEL Matteo | 57 |
| 10 | AUGUST Andrew | 57 |
| 15 | PICKERING Finlay | 55 |
| 16 | CABEDO Marc | 57 |
| 18 | ZOMERMAAND Jurgen | 65 |
| 19 | MIHOLJEVIĆ Fran | 72 |
| 20 | GUSNER Matthias | 62 |