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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELOKI Joseba | 68 |
| 2 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 3 | AZEVEDO José Bento | 59 |
| 4 | DIAZ Rafael | 55 |
| 5 | JAKSCHE Jörg | 69 |
| 6 | SERRANO Marcos Antonio | 63 |
| 7 | ZARRABEITIA Mikel | 63 |
| 8 | CRUZ Antonio | 66 |
| 9 | BARRY Michael | 72 |
| 10 | PEÑA Victor Hugo | 65 |
| 11 | VANDE VELDE Christian | 69 |
| 12 | KJÆRGAARD Steffen | 74 |
| 13 | HERAS Roberto | 59 |
| 14 | RUBIERA José Luis | 69 |
| 15 | ZABRISKIE David | 67 |