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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REINDERS Elmar | 78.1 |
| 2 | SCHULTING Peter | 70 |
| 3 | GIBSON Matthew | 76 |
| 4 | BANASZEK Alan | 75 |
| 5 | FREDHEIM Stian | 72 |
| 6 | ZIJLAARD Maikel | 73 |
| 7 | DE VRIES Hartthijs | 66 |
| 10 | SALBY Alexander | 68 |
| 11 | WOOD Oliver | 72 |
| 12 | MIHKELS Madis | 75 |
| 14 | DE MEESTER Luca | 73 |
| 15 | LINDEMAN Bert-Jan | 69 |
| 17 | KERCKHAERT Jochem | 59 |
| 19 | PERRY Benjamin | 71 |
| 20 | OTTEMA Rick | 77 |
| 22 | HUPPERTZ Joshua | 66 |