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 = -24.3 * weight + 2301
This means that on average for every extra kilogram weight a rider loses -24.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTANELLI Fabiano | 68 |
| 2 | KONYSHEV Dmitry | 77 |
| 8 | JASKUŁA Zenon | 76 |
| 9 | BUGNO Gianni | 68 |
| 10 | BERTOLINI Alessandro | 63 |
| 990 | BALLERINI Franco | 78 |
| 990 | FORCONI Riccardo | 71 |
| 990 | SPRUCH Zbigniew | 68 |
| 990 | FRIGO Dario | 66 |
| 990 | LUTTENBERGER Peter | 60 |
| 990 | TOTSCHNIG Georg | 62 |
| 990 | BELLI Wladimir | 64 |
| 990 | PIEPOLI Leonardo | 54 |
| 990 | HONCHAR Serhiy | 67 |
| 990 | VELO Marco | 70 |