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 = -1.1 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLOMSER Gerrit | 67 |
| 2 | TRAMPUSCH Gerhard | 60 |
| 4 | EIBEGGER Markus | 68 |
| 10 | EISEL Bernhard | 74 |
| 11 | HASELBACHER René | 69 |
| 14 | WROLICH Peter | 68 |
| 16 | PICHLER Michael | 70 |
| 33 | KOPEINIG René | 63 |
| 37 | PÖLL Stefan | 60 |