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 = 1.8 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 2 | GOTTI Ivan | 65 |
| 9 | SCIANDRI Maximilian | 75 |
| 12 | GIANETTI Mauro | 62 |
| 16 | CHIAPPUCCI Claudio | 67 |
| 24 | CENGHIALTA Bruno | 73 |
| 29 | TAFI Andrea | 73 |
| 30 | ELLI Alberto | 71 |
| 35 | SCHUR Jan | 73 |
| 36 | JASKUŁA Zenon | 76 |
| 37 | BUGNO Gianni | 68 |
| 42 | BALLERINI Franco | 78 |