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 + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDOUSSELAERE Sven | 71 |
| 3 | DEBUSSCHERE Jens | 77 |
| 5 | VERMELTFOORT Coen | 85 |
| 8 | LIGTHART Pim | 72 |
| 12 | BLYTHE Adam | 68 |
| 13 | CLAEYS Kevin | 74 |
| 18 | PLANCKAERT Baptiste | 65 |
| 20 | KEUKELEIRE Jens | 69 |
| 22 | LODEWYCK Klaas | 70 |
| 23 | JOSEPH Gregory | 67 |
| 24 | VANMARCKE Sep | 77 |
| 30 | DE VREESE Laurens | 78 |
| 31 | WALLAYS Jelle | 77 |
| 34 | BOL Jetse | 71 |
| 41 | GHYSELINCK Jan | 74 |