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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIBSON Matthew | 76 |
| 2 | REINDERS Elmar | 78.1 |
| 3 | BANASZEK Alan | 75 |
| 4 | FREDHEIM Stian | 72 |
| 6 | SALBY Alexander | 68 |
| 7 | MIHKELS Madis | 75 |
| 8 | DE MEESTER Luca | 73 |
| 10 | ZIJLAARD Maikel | 73 |
| 13 | KERCKHAERT Jochem | 59 |