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 = -0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROENEWEGEN Dylan | 70 |
| 2 | MILAN Jonathan | 87 |
| 3 | WALSCHEID Max | 90 |
| 4 | BOL Cees | 83 |
| 5 | KANTER Max | 68 |
| 6 | RAJOVIĆ Dušan | 74 |
| 7 | BLIKRA Erlend | 75 |
| 8 | WÆRENSKJOLD Søren | 92 |
| 9 | OLIVEIRA Ivo | 68 |
| 10 | GIBBONS Ryan | 70 |
| 11 | MEZGEC Luka | 72 |
| 12 | FREDHEIM Stian | 72 |
| 13 | CONSONNI Simone | 60 |
| 14 | TIZZA Marco | 58 |
| 15 | SAJNOK Szymon | 75 |