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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZBERG Markus | 69 |
| 2 | STRAUSS Marcel | 69 |
| 3 | BEUCHAT Roger | 62 |
| 4 | SCHNIDER Daniel | 65 |
| 6 | GIANETTI Mauro | 62 |
| 8 | CAMENZIND Oscar | 62 |
| 9 | MEIER Roland | 60 |
| 10 | MONTGOMERY Sven | 62 |
| 15 | BERGMANN Reto | 68 |
| 16 | JEKER Fabian | 72 |
| 17 | AEBERSOLD Niki | 58 |
| 20 | ZÜLLE Alex | 72 |
| 22 | RAST Grégory | 80 |
| 29 | LOOSLI David | 71 |
| 30 | ALBASINI Michael | 65 |