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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TYBOR Patrik | 72 |
| 3 | BAJC Andi | 65 |
| 4 | THILL Tom | 73 |
| 5 | COENEN Johan | 67 |
| 6 | LOVASSY Krisztián | 71 |
| 7 | BACKOFEN Moritz | 62 |
| 8 | TRATNIK Jan | 67 |
| 10 | OOSTRA Folkert | 68 |
| 11 | KUSZTOR Péter | 61 |
| 13 | FERRETTI Matteo | 55 |
| 14 | STEVIĆ Ivan | 66 |