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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | BARTOLI Michele | 65 |
| 3 | REBELLIN Davide | 63 |
| 4 | DONATI Massimo | 75 |
| 8 | BETTINI Paolo | 58 |
| 9 | BELLI Wladimir | 64 |
| 11 | TAFI Andrea | 73 |
| 13 | ELLI Alberto | 71 |
| 14 | SIMEONI Filippo | 68 |
| 15 | FRIGO Dario | 66 |