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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASAGRANDE Francesco | 64 |
| 2 | REBELLIN Davide | 63 |
| 3 | BELLI Wladimir | 64 |
| 4 | BERZIN Evgeni | 64 |
| 5 | PANTANI Marco | 58 |
| 6 | ELLI Alberto | 71 |
| 8 | FORCONI Riccardo | 71 |
| 12 | GUERINI Giuseppe | 65 |
| 13 | TOTSCHNIG Georg | 62 |
| 16 | SERPELLINI Marco | 75 |
| 17 | ANDERSSON Michael | 71 |
| 19 | SIMONI Gilberto | 59 |