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 = 0.6 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 2 | TOMBAK Janek | 71 |
| 8 | CHRISTENSEN Mads | 69 |
| 11 | CHAMPION Dimitri | 70 |
| 12 | DRANCOURT Pierre | 68 |
| 15 | JOHANSEN Allan | 78 |
| 18 | DELPECH Jean-Luc | 72 |
| 22 | VANDENBROUCKE Frank | 67 |