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 = -1.3 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PETTERSSON Gösta | 75 |
| 6 | KUIPER Hennie | 69 |
| 9 | TAMAMES Agustín | 66 |
| 10 | DÍAZ Ventura | 72 |
| 12 | ELORRIAGA Javier Francisco | 85 |
| 24 | LASA Miguel María | 68 |
| 35 | HUELAMO Jaime | 61 |
| 36 | BIDDLE Bruce | 64 |
| 44 | GAIDA Alfred | 65 |
| 47 | HERMANS Gustaaf | 71 |
| 53 | VASSEUR Alain | 67 |