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 = -1.9 * weight + 159
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POULIDOR Raymond | 71 |
| 2 | PETTERSSON Gösta | 75 |
| 6 | LASA Miguel María | 68 |
| 7 | MORTENSEN Leif | 70 |
| 18 | TAMAMES Agustín | 66 |
| 26 | BILSLAND William | 73 |
| 30 | DÍAZ Ventura | 72 |
| 32 | AJA Gonzalo | 66 |
| 49 | LEWIS Colin | 70 |
| 55 | DÍAZ Mariano | 63 |
| 56 | DUCREUX Daniel | 65 |
| 57 | SAÉZ Ramón | 74 |