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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KITTEL Marcel | 82 |
| 2 | APPOLLONIO Davide | 67 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | KRISTOFF Alexander | 78 |
| 5 | TRAKSEL Bobbie | 72 |
| 6 | BOONEN Tom | 82 |
| 7 | PHINNEY Taylor | 82 |
| 8 | FORTIN Filippo | 78 |
| 9 | UCHIMA Kohei | 63 |
| 10 | GODDAERT Kristof | 72 |
| 11 | VIVIANI Elia | 67 |
| 12 | ROLLIN Dominique | 83 |
| 13 | COLBRELLI Sonny | 74 |
| 14 | GUARNIERI Jacopo | 80 |