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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAMENZIND Oscar | 62 |
| 2 | MEIER Roland | 60 |
| 3 | AEBERSOLD Niki | 58 |
| 4 | ZBERG Beat | 72 |
| 5 | ZBERG Markus | 69 |
| 6 | HUSER Rolf | 65 |
| 7 | JEKER Fabian | 72 |
| 10 | MONTGOMERY Sven | 62 |
| 12 | SCHNIDER Daniel | 65 |
| 14 | GIANETTI Mauro | 62 |
| 22 | BERGMANN Reto | 68 |
| 23 | BEUCHAT Roger | 62 |