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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKIBBY Jesper | 70 |
| 2 | VAN HEESWIJK Max | 73 |
| 3 | HAMBURGER Bo | 58 |
| 4 | ZANINI Stefano | 80 |
| 5 | MICHAELSEN Lars | 79 |
| 6 | ANDERSEN Christian | 71 |
| 8 | RIIS Bjarne | 71 |
| 9 | VIERHOUTEN Aart | 71 |