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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | UGRUMOV Piotr | 58 |
| 3 | CASAGRANDE Francesco | 64 |
| 4 | JONKER Patrick | 69 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 6 | ZBERG Beat | 72 |
| 8 | REBELLIN Davide | 63 |
| 9 | CIPOLLINI Mario | 77 |
| 10 | BELLI Wladimir | 64 |