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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Danail Andonov | 63 |
| 3 | EDO Ángel | 64 |
| 4 | BERNABÉU David | 66 |
| 5 | ROMANIK Radosław | 62 |
| 6 | FUKUSHIMA Shinichi | 62 |
| 11 | SOUSA Rui | 59 |
| 12 | COYOT Arnaud | 76 |
| 14 | SCHEIRLINCKX Staf | 78 |
| 17 | PLAZA Rubén | 77 |
| 20 | AMORIM Gonçalo | 67 |
| 22 | RIBEIRO Nuno | 59 |
| 23 | ROULSTON Hayden | 81 |