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 = -39.8 * weight + 3538
This means that on average for every extra kilogram weight a rider loses -39.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CAROLI Daniele | 77 |
| 6 | SOLLEVELD Gerrit | 93 |
| 9 | DE VLAEMINCK Roger | 74 |
| 990 | ARGENTIN Moreno | 66 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | VAN VLIET Leo | 65 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | PRIM Tommy | 76 |