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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKOBSEN Fabio | 78 |
| 2 | VIVIANI Elia | 67 |
| 3 | TRENTIN Matteo | 74 |
| 4 | KRISTOFF Alexander | 78 |
| 5 | ABERASTURI Jon | 69 |
| 6 | BOL Cees | 83 |
| 7 | PAULINHO Pedro | 75 |
| 8 | KLUGE Roger | 83 |
| 9 | CIMOLAI Davide | 70 |
| 10 | DECLERCQ Tim | 78 |
| 11 | TRUEBA Alvaro | 65 |
| 12 | LÓPEZ Diego | 70 |
| 13 | HOELGAARD Daniel | 77 |
| 14 | KEISSE Iljo | 72 |
| 15 | THEUNS Edward | 72 |