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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAJKA Rafał | 62 |
| 2 | NOVAK Domen | 70 |
| 3 | POGAČAR Tadej | 66 |
| 4 | ALBANESE Vincenzo | 70 |
| 5 | CHIRICO Luca | 58 |
| 6 | MEZGEC Luka | 72 |
| 7 | BUDZIŃSKI Tomasz | 69 |
| 8 | CONCI Nicola | 68 |
| 9 | MOHORIČ Matej | 71 |
| 10 | BARCELÓ Fernando | 65 |
| 11 | GABBURO Davide | 63 |
| 12 | FELLINE Fabio | 68 |
| 13 | NICOLAU Joel | 66 |
| 14 | FORTUNATO Lorenzo | 57 |
| 15 | TRATNIK Jan | 67 |
| 16 | SESSLER Nícolas | 58 |
| 18 | HAMILTON Lucas | 71 |