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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRAKSEL Bobbie | 72 |
| 2 | BOECKMANS Kris | 76 |
| 3 | MARCATO Marco | 67 |
| 4 | POULHIÈS Stéphane | 75 |
| 5 | JULES Justin | 64 |
| 6 | RAVARD Anthony | 62 |
| 7 | ROLLAND Pierre | 70 |
| 8 | DUMOULIN Samuel | 57 |
| 9 | VAN STAEYEN Michael | 62 |