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 = 1.6 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARMENDIA Aitor | 68 |
| 3 | CUESTA Iñigo | 62 |
| 4 | PIEPOLI Leonardo | 54 |
| 5 | BELTRÁN Manuel | 60 |
| 6 | DONATI Massimo | 75 |
| 7 | AXELSSON Niklas | 73 |
| 8 | HERAS Roberto | 59 |
| 9 | RUBIERA José Luis | 69 |
| 66 | RIIS Bjarne | 71 |
| 70 | ULLRICH Jan | 73 |