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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PFANNBERGER Christian | 63 |
| 3 | TOTSCHNIG Georg | 62 |
| 8 | PICHLER Michael | 70 |
| 9 | EISEL Bernhard | 74 |
| 13 | HASELBACHER René | 69 |
| 16 | WROLICH Peter | 68 |
| 18 | EIBEGGER Markus | 68 |
| 21 | BENETSEDER Josef | 65 |
| 25 | ROHREGGER Thomas | 63 |