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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIMOLAI Davide | 70 |
| 2 | SANZ Enrique | 67 |
| 3 | COUSIN Jérôme | 74 |
| 4 | LASTRA Jonathan | 64 |
| 5 | OLIVEIRA Nelson | 67 |
| 6 | SÁEZ Héctor | 75 |
| 7 | BOIVIN Guillaume | 78 |
| 8 | PRADES Eduard | 63 |
| 9 | BENNATI Daniele | 71 |
| 10 | GROSU Eduard-Michael | 68 |
| 12 | OLDANI Stefano | 65 |
| 13 | JONES Brenton | 81 |
| 14 | GIBSON Matthew | 76 |