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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RENSHAW Mark | 74 |
| 2 | GREIPEL André | 80 |
| 3 | NIZZOLO Giacomo | 72 |
| 4 | PHINNEY Taylor | 82 |
| 5 | RICHEZE Maximiliano | 68 |
| 6 | VIVIANI Elia | 67 |
| 7 | JACOBS Pieter | 68 |
| 8 | VAN STAEYEN Michael | 62 |
| 9 | APPOLLONIO Davide | 67 |
| 10 | VERRAES Benjamin | 73 |
| 11 | PETACCHI Alessandro | 70 |
| 12 | TLEUBAYEV Ruslan | 70 |
| 13 | BOOM Lars | 75 |
| 14 | DE VREESE Laurens | 78 |
| 15 | BODNAR Maciej | 77 |