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 = 0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GIUPPONI Flavio | 60 |
| 11 | PAGNIN Roberto | 74 |
| 12 | SCIANDRI Maximilian | 75 |
| 17 | BALLERINI Franco | 78 |
| 23 | LELLI Massimiliano | 69 |
| 24 | FONDRIEST Maurizio | 70 |
| 36 | ARGENTIN Moreno | 66 |
| 38 | CHIAPPUCCI Claudio | 67 |
| 41 | BUGNO Gianni | 68 |
| 51 | ELLI Alberto | 71 |
| 52 | CENGHIALTA Bruno | 73 |