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 = -1.1 * weight + 95
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENNEQUIN Paul | 64 |
| 2 | BOULAHOITE Rayan | 75 |
| 4 | TAGLIANI Filippo | 70 |
| 5 | ÖZGÜR Batuhan | 75 |
| 13 | KHAFI Oussama | 65 |
| 19 | BERHANE Natnael | 66 |
| 23 | KLOPPER Christiaan | 74 |
| 24 | WIĘCZKOWSKI Paweł | 63 |
| 26 | GALEDO Mark John Lexer | 58 |
| 28 | BENNETT Stéfan | 58 |
| 32 | SILVA João | 69 |
| 34 | STEDMAN Maximilian | 54 |
| 35 | PÉREZ-LANDALUCE Eduardo | 70 |
| 36 | MUJIKA Mikel | 60 |
| 46 | FRANCISCO Jude Gabriel | 62 |