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 = -1.8 * weight + 144
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 4 | ROBERGE Adam | 72 |
| 6 | DAL-CIN Matteo | 77 |
| 8 | CATAFORD Alexander | 70 |
| 11 | PICCOLI James | 65 |
| 12 | ROTH Ryan | 70 |
| 13 | BOIVIN Guillaume | 78 |
| 14 | JAMIESON Adam | 75 |
| 16 | GEE Derek | 72 |
| 19 | GERVAIS Laurent | 72 |
| 39 | LACHANCE Jean-Michel | 72 |
| 56 | KAMERMANS Matthew | 66 |