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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VANDERAERDEN Eric | 74 |
| 4 | MOREAU Francis | 77 |
| 5 | SERGEANT Marc | 76 |
| 6 | MARIE Thierry | 68 |
| 7 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | SKIBBY Jesper | 70 |
| 11 | BRUYNEEL Johan | 71 |
| 19 | SWART Steve | 74 |