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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOTSCHNIG Georg | 62 |
| 2 | HASELBACHER René | 69 |
| 4 | PFANNBERGER Christian | 63 |
| 5 | KOHL Bernhard | 61 |
| 7 | LUTTENBERGER Peter | 60 |
| 11 | BENETSEDER Josef | 65 |
| 12 | TRAMPUSCH Gerhard | 60 |