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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JÄRMANN Rolf | 73 |
| 2 | BALDATO Fabio | 60 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 8 | CASAGRANDE Francesco | 64 |
| 9 | BALLERINI Franco | 78 |
| 11 | CENGHIALTA Bruno | 73 |
| 13 | RIIS Bjarne | 71 |
| 14 | VANZELLA Flavio | 78 |
| 15 | GUIDI Fabrizio | 73 |