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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEVOLDER Stijn | 72 |
| 2 | SENTJENS Roy | 75 |
| 3 | BOONEN Tom | 82 |
| 4 | BAUMANN Eric | 72 |
| 5 | VAN GOOLEN Jurgen | 70 |
| 6 | WILLEMS Frederik | 67 |
| 8 | VANSUMMEREN Johan | 79 |
| 11 | GILBERT Philippe | 75 |
| 12 | DE SCHROODER Benny | 61 |
| 14 | STEEGMANS Gert | 82 |
| 17 | MUTSAARS Ronald | 67 |
| 20 | NUYENS Nick | 68 |