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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 2 | MERCKX Axel | 77 |
| 3 | BOONEN Tom | 82 |
| 4 | ROULSTON Hayden | 81 |
| 5 | BRUYLANDTS Dave | 63 |
| 6 | ROGERS Michael | 74 |
| 7 | VALJAVEC Tadej | 59 |
| 8 | DIERCKXSENS Ludo | 71 |
| 9 | DEN BAKKER Maarten | 71 |
| 10 | ENGOULVENT Jimmy | 82 |