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 = -1.5 * weight + 132
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ELORRIAGA Javier Francisco | 85 |
| 5 | PETTERSSON Gösta | 75 |
| 16 | VASSEUR Alain | 67 |
| 18 | KUIPER Hennie | 69 |
| 25 | HERMANS Gustaaf | 71 |
| 27 | BIDDLE Bruce | 64 |
| 30 | LASA Miguel María | 68 |
| 34 | TAMAMES Agustín | 66 |
| 40 | HUELAMO Jaime | 61 |
| 45 | GAIDA Alfred | 65 |
| 54 | GILSON Roger | 70 |
| 55 | PARENTEAU Jean-Pierre | 68 |
| 61 | DÍAZ Ventura | 72 |