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 = -1.1 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEN HERTOG Fedor | 76 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | GAVAZZI Pierino | 67 |
| 6 | ELORRIAGA Javier Francisco | 85 |
| 7 | PRIEM Cees | 75 |
| 16 | AJA Gonzalo | 66 |
| 23 | ALLAN Donald | 73 |
| 24 | DÍAZ Ventura | 72 |
| 31 | TAMAMES Agustín | 66 |
| 32 | MARCUSSEN Jørgen | 70 |
| 39 | GILSON Roger | 70 |