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 = 1.2 * weight - 32
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
13 | CAZA Rommel Andrés | 63 |
17 | ZHURKIN Nikolay | 77 |
19 | GUAMÁ Byron | 61 |
38 | FONSECA Andrey | 56 |
48 | STASH Mamyr | 77 |
50 | HONIG Reinier | 61 |
56 | LÓPEZ Harold Martín | 55 |
72 | LEITHNER Daniel | 84 |
75 | MANAKOV Victor | 77 |
85 | KOONTZ Grant | 80 |
88 | LACHANCE Jean-Michel | 72 |