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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BITTNER Pavel | 73 |
| 2 | NIZZOLO Giacomo | 72 |
| 3 | GARCÍA CORTINA Iván | 77 |
| 4 | AFFINI Edoardo | 80 |
| 5 | OLIVEIRA Ivo | 68 |
| 6 | SCHELLING Ide | 66 |
| 7 | MAYRHOFER Marius | 70 |
| 8 | HEIDUK Kim | 70 |
| 9 | EWAN Caleb | 69 |
| 10 | DE PESTEL Sander | 74 |
| 11 | GOVEKAR Matevž | 73 |
| 12 | RETAILLEAU Valentin | 64 |
| 13 | BRUSTENGA Marc | 80 |
| 14 | ANGULO Antonio | 67 |
| 15 | RESTREPO Jhonatan | 73 |