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 = -1.2 * weight + 96
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDRIOTTO Dario | 68 |
| 4 | TAFI Andrea | 73 |
| 5 | SERPELLINI Marco | 75 |
| 10 | CASAROTTO Davide | 74 |
| 12 | FERRARI Diego | 74 |
| 18 | APOLLONIO Massimo | 70 |
| 19 | BRASI Rossano | 67 |
| 24 | SIMEONI Filippo | 68 |