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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIZZOLO Giacomo | 72 |
| 2 | CAVENDISH Mark | 70 |
| 3 | DUPONT Timothy | 72 |
| 4 | OPIE Chris | 73 |
| 5 | BAŠKA Erik | 74 |
| 6 | VERMELTFOORT Coen | 85 |
| 7 | RUFFONI Nicola | 70 |
| 8 | BOIVIN Guillaume | 78 |
| 9 | FRANCZAK Paweł | 63 |
| 10 | TAMOURIDIS Ioannis | 70 |
| 11 | SAGIV Guy | 68 |
| 13 | PELUCCHI Matteo | 74 |
| 14 | GUARDINI Andrea | 66 |
| 15 | RUMAC Josip | 71 |
| 17 | FAVILLI Elia | 61 |
| 18 | KURBATOV Alexey | 73 |
| 19 | PERON Andrea | 70 |