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 = -2.7 * weight + 219
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAÉZ Ramón | 74 |
| 6 | ROSIERS Roger | 78 |
| 9 | SCHLECK Johny | 72 |
| 19 | PIJNEN René | 72 |
| 22 | TAMAMES Agustín | 66 |
| 26 | LASA Miguel María | 68 |
| 27 | LASA José Manuel | 77 |
| 28 | DÍAZ Ventura | 72 |
| 34 | BRAMUCCI Giovanni | 70 |
| 36 | DOLMAN Evert | 71 |
| 54 | MARINE Jorge | 69 |
| 57 | AJA Gonzalo | 66 |