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 = 2.7 * weight - 162
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | PÉREZ Pedro Pablo | 68 |
2 | CHACÓN José Isidro | 63 |
4 | SÁNCHEZ Augusto | 72 |
14 | KVASINA Matija | 72 |
18 | KOREN Kristijan | 72 |
21 | UBETO Miguel Armando | 60 |
35 | KOCJAN Jure | 72 |
57 | ROGINA Radoslav | 70 |
88 | FRIEDEMANN Matthias | 75 |