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 * weight + 15
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 4 | BORTOLAMI Gianluca | 73 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 6 | ELLI Alberto | 71 |
| 9 | MEJIA Alvaro | 63 |
| 11 | ZBERG Beat | 72 |
| 12 | BELLI Wladimir | 64 |
| 13 | IMBODEN Heinz | 70 |
| 14 | KONYSHEV Dmitry | 77 |
| 15 | SCIANDRI Maximilian | 75 |
| 16 | CASAGRANDE Francesco | 64 |
| 17 | CENGHIALTA Bruno | 73 |
| 24 | BUGNO Gianni | 68 |
| 26 | GOTTI Ivan | 65 |
| 27 | TAFI Andrea | 73 |
| 28 | GUERINI Giuseppe | 65 |
| 29 | BRAMATI Davide | 72 |