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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUARDINI Andrea | 66 |
| 2 | BOONEN Tom | 82 |
| 3 | BENNATI Daniele | 71 |
| 4 | PALINI Andrea | 67 |
| 5 | CLARKE Will | 81 |
| 6 | VOß Paul | 66 |
| 7 | MANCEBO Francisco | 64 |
| 8 | CANOLA Marco | 66 |
| 9 | BAZZANA Alessandro | 63.5 |
| 10 | ÁVILA Edwin | 61 |
| 11 | VIVIANI Elia | 67 |
| 12 | JIM Songezo | 66 |
| 13 | ROJAS José Joaquín | 70 |
| 14 | SCHWARZMANN Michael | 69 |
| 15 | MEZGEC Luka | 72 |
| 16 | HENAO Sebastián | 57 |