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 = 0.4 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALTER Attila | 65 |
| 2 | FETTER Erik | 70 |
| 3 | DINA Márton | 67 |
| 4 | PEÁK Barnabás | 74 |
| 7 | FILUTÁS Viktor | 68 |
| 9 | KUSZTOR Péter | 61 |
| 12 | PELIKÁN János | 76 |
| 15 | SZATMARY Andras | 71 |
| 20 | BOZSIK Bence | 86 |
| 23 | VASKÓ Levente | 69 |
| 27 | SZARKA Gergely | 67 |
| 30 | LEPOLD Zoltán Antal | 62 |
| 32 | SZÖLLŐSSY Ádám | 68 |
| 34 | PÁPAI Ádám | 76 |
| 36 | MÓROCZ Barnabás | 74 |
| 37 | MÓRÉ-GOSSELIN Olivier | 72 |