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 = 17.3 * weight - 852
This means that on average for every extra kilogram weight a rider loses 17.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRIM Tommy | 76 |
| 7 | CAROLI Daniele | 77 |
| 10 | VAN VLIET Leo | 65 |
| 11 | SCHEPERS Eddy | 60 |
| 13 | GAVAZZI Pierino | 67 |
| 14 | LEMOND Greg | 67 |
| 22 | ALGERI Vittorio | 68 |
| 23 | ARGENTIN Moreno | 66 |
| 990 | MADIOT Marc | 68 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DE VLAEMINCK Roger | 74 |