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 = 0.5 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDO Ángel | 64 |
| 2 | PETROV Danail Andonov | 63 |
| 3 | FUKUSHIMA Shinichi | 62 |
| 6 | ROMANIK Radosław | 62 |
| 7 | SOUSA Rui | 59 |
| 8 | COYOT Arnaud | 76 |
| 10 | SCHEIRLINCKX Staf | 78 |
| 14 | BERNABÉU David | 66 |
| 16 | AMORIM Gonçalo | 67 |
| 17 | ROULSTON Hayden | 81 |
| 20 | MOSQUERA Ezequiel | 65 |
| 22 | PLAZA Rubén | 77 |