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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRATNIK Jan | 67 |
| 2 | ČANECKÝ Marek | 72 |
| 3 | STEVIĆ Ivan | 66 |
| 4 | PORZNER Manuel | 75 |
| 5 | LOVASSY Krisztián | 71 |
| 8 | BAJC Andi | 65 |
| 11 | THILL Tom | 73 |
| 12 | TYBOR Patrik | 72 |
| 13 | KASA Gabor | 72 |
| 16 | KUSZTOR Péter | 61 |
| 20 | EARLY James | 65 |
| 23 | COENEN Johan | 67 |
| 25 | OOSTRA Folkert | 68 |