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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAUTERS Marc | 73 |
| 2 | HOSTE Leif | 80 |
| 3 | ROESEMS Bert | 81 |
| 4 | VAN PETEGEM Peter | 70 |
| 5 | VANSEVENANT Wim | 65 |
| 6 | VAN GOOLEN Jurgen | 70 |
| 7 | CAPPELLE Andy | 71 |
| 8 | GILBERT Philippe | 75 |
| 9 | STREEL Marc | 69 |
| 10 | VAN IMPE Kevin | 75 |
| 11 | DE WEERT Kevin | 70 |