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 = -1.9 * weight + 143
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | GONTCHENKOV Alexander | 74 |
| 4 | LOMBARDI Giovanni | 73 |
| 5 | GUIDI Fabrizio | 73 |
| 6 | SIMON François | 70 |
| 8 | MARTINELLO Silvio | 71 |
| 9 | SIVAKOV Alexei | 72 |
| 10 | BRAMATI Davide | 72 |
| 21 | OLANO Abraham | 70 |