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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RADOCHLA Steffen | 70 |
| 3 | VELITS Peter | 63 |
| 5 | COX Ryan | 62 |
| 7 | KANNEMEYER Tiaan | 67 |
| 8 | BENGSCH Robert | 85 |
| 9 | CÁRDENAS Félix Rafael | 59 |
| 11 | LAMPATER Leif | 75 |
| 16 | GLASNER Björn | 72 |
| 17 | HOFFMANN Erik | 65 |
| 18 | SCHMIDT Torsten | 73 |
| 19 | GEORGE David | 61 |
| 20 | BOMMEL Henning | 75 |
| 21 | DAVEL WARD Shaun | 72 |