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 = 0.6 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLI Wladimir | 64 |
| 4 | TOTSCHNIG Georg | 62 |
| 10 | FORCONI Riccardo | 71 |
| 11 | LUTTENBERGER Peter | 60 |
| 14 | PIEPOLI Leonardo | 54 |
| 15 | HONCHAR Serhiy | 67 |
| 18 | JASKUŁA Zenon | 76 |
| 22 | SPRUCH Zbigniew | 68 |
| 24 | BALLERINI Franco | 78 |
| 25 | BUGNO Gianni | 68 |