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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JURČO Matej | 69 |
| 3 | KVASINA Matija | 72 |
| 5 | LOVASSY Krisztián | 71 |
| 7 | NAGY Robert | 52 |
| 9 | KUSZTOR Péter | 61 |
| 10 | STEVIĆ Ivan | 66 |
| 11 | ČANECKÝ Marek | 72 |
| 14 | KASA Gabor | 72 |
| 18 | KERS Koos Jeroen | 71 |
| 24 | SZEGHALMI Balint | 66 |
| 25 | IVANOV Ruslan | 71 |