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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREEN Roland | 75 |
| 4 | BALIANI Fortunato | 66 |
| 5 | MARÍN Ruber Alveiro | 55 |
| 6 | DANIELSON Tom | 58.5 |
| 7 | GONZÁLEZ Freddy Excelino | 55 |
| 8 | MAESTRE José Manuel | 74 |
| 9 | JENNER Christopher | 68 |
| 11 | JUFRÉ Josep | 65 |
| 13 | LAVERDE Luis Felipe | 63 |
| 16 | DE GROOTE Thierry | 71 |
| 18 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 21 | GUYTON Scott | 74 |
| 22 | GEORGE David | 61 |
| 24 | O'NEILL Nathan | 72 |
| 30 | BAK Lars Ytting | 76 |