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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ULISSI Diego | 63 |
| 2 | FELLINE Fabio | 68 |
| 3 | RUBIANO Miguel Angel | 58 |
| 4 | GAVAZZI Mattia | 70 |
| 5 | CUNEGO Damiano | 58 |
| 6 | BAZZANA Alessandro | 63.5 |
| 7 | ROGINA Radoslav | 70 |
| 9 | ZOIDL Riccardo | 63 |
| 10 | SPRENGERS Thomas | 60 |
| 11 | REBELLIN Davide | 63 |
| 12 | LUTSENKO Alexey | 74 |
| 13 | BONGIORNO Francesco Manuel | 56 |
| 14 | REIJNEN Kiel | 63 |
| 15 | KÖNIG Leopold | 62 |
| 16 | MATYSIAK Bartłomiej | 71 |