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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VELITS Peter | 63 |
| 3 | COX Ryan | 62 |
| 4 | KANNEMEYER Tiaan | 67 |
| 5 | GEORGE David | 61 |
| 6 | CÁRDENAS Félix Rafael | 59 |
| 7 | BENGSCH Robert | 85 |
| 8 | DE KETELE Kenny | 66 |
| 9 | DAVEL WARD Shaun | 72 |
| 11 | AUGUSTYN John-Lee | 65 |
| 12 | LAMPATER Leif | 75 |
| 13 | BUTTERFIELD Tyler | 75 |
| 15 | VELITS Martin | 70 |
| 18 | GLASNER Björn | 72 |
| 21 | VANENDERT Jelle | 62 |