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 = -0.8 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HASELBACHER René | 69 |
| 4 | KOHL Bernhard | 61 |
| 5 | EISEL Bernhard | 74 |
| 9 | WROLICH Peter | 68 |
| 10 | GLOMSER Gerrit | 67 |
| 12 | BUXHOFER Matthias | 70 |
| 13 | TRAMPUSCH Gerhard | 60 |
| 19 | TOTSCHNIG Georg | 62 |
| 24 | MÜHLBACHER Thomas | 68 |
| 25 | ROHREGGER Thomas | 63 |
| 30 | PFANNBERGER Christian | 63 |