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 - 43
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | VALTER Attila | 65 |
2 | DINA Márton | 67 |
3 | FETTER Erik | 70 |
4 | KUSZTOR Péter | 61 |
5 | PEÁK Barnabás | 74 |
7 | FILUTÁS Viktor | 68 |
12 | VASKÓ Levente | 69 |
14 | MÓRÉ-GOSSELIN Olivier | 72 |
18 | BOZSIK Bence | 86 |
19 | PÁPAI Ádám | 76 |