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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 2 | SIEBERG Marcel | 80 |
| 3 | LASTRAS Pablo | 68 |
| 4 | DEN BAKKER Maarten | 71 |
| 6 | BILEKA Volodymyr | 65 |
| 7 | LUND Anders | 65 |
| 8 | PÉREZ Rubén | 65 |
| 9 | WILLEMS Frederik | 67 |
| 10 | VIERHOUTEN Aart | 71 |
| 11 | ALBIZURI Beñat | 69 |
| 12 | GRIVKO Andrey | 70 |
| 13 | TJALLINGII Maarten | 81 |
| 14 | EICHLER Markus | 78 |
| 15 | BOSSONI Paolo | 62 |
| 16 | KNAVEN Servais | 68 |