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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PICCOLI James | 65 |
| 3 | SEVILLA Óscar | 62 |
| 5 | VILLALOBOS Luis | 66 |
| 6 | ȚVETCOV Serghei | 69 |
| 7 | HOEHN Alex | 63 |
| 9 | SWIRBUL Keegan | 65 |
| 13 | DUARTE Fabio | 55 |
| 14 | ROJAS Gabriel Francisco | 59 |
| 16 | CLARKE Jonathan | 68 |
| 17 | STITES Tyler | 60 |
| 18 | MILLER Barry | 54 |
| 21 | PAVLIČ Marko | 65 |
| 22 | BELTRÁN Edward | 59 |
| 24 | HERNANDEZ Michael | 74 |