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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROESEMS Bert | 81 |
| 2 | WAUTERS Marc | 73 |
| 3 | HOSTE Leif | 80 |
| 4 | STREEL Marc | 69 |
| 5 | VAN PETEGEM Peter | 70 |
| 6 | EECKHOUT Niko | 73 |
| 7 | VAN GOOLEN Jurgen | 70 |
| 8 | KUYCKX Jan | 68 |
| 9 | VANSUMMEREN Johan | 79 |
| 11 | VAN IMPE Kevin | 75 |
| 13 | STEEGMANS Gert | 82 |
| 15 | VAN HYFTE Paul | 70 |
| 16 | CAPPELLE Andy | 71 |
| 17 | THIJS Erwin | 69 |
| 18 | ROSSELER Sébastien | 78 |