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 = -2.6 * weight + 214
This means that on average for every extra kilogram weight a rider loses -2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SAÉZ Ramón | 74 |
| 6 | ROSIERS Roger | 78 |
| 7 | PIJNEN René | 72 |
| 9 | LASA Miguel María | 68 |
| 25 | DOLMAN Evert | 71 |
| 27 | TAMAMES Agustín | 66 |
| 34 | DÍAZ Ventura | 72 |
| 35 | SCHLECK Johny | 72 |
| 38 | BRAMUCCI Giovanni | 70 |
| 41 | LASA José Manuel | 77 |
| 67 | MARINE Jorge | 69 |
| 72 | AJA Gonzalo | 66 |