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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DRUJON Mathieu | 75 |
| 5 | BONNET William | 80 |
| 6 | BOMMEL Henning | 75 |
| 7 | JANIACZYK Błażej | 68 |
| 10 | STRGAR Matic | 62 |
| 12 | DIETZIKER Andreas | 67 |
| 22 | DE KORT Koen | 69 |
| 23 | MUSIOL Daniel | 70 |
| 30 | SCHWAB Hubert | 65 |
| 36 | LAMPATER Leif | 75 |
| 42 | ZAHNER Simon | 73 |