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 = 0.8 * weight - 50
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | KUBIŠ Lukáš | 70 |
3 | BUDZIŃSKI Marcin | 70 |
5 | PALUTA Michał | 65 |
6 | STOSZ Patryk | 70 |
9 | BROEX Victor | 75 |
13 | COLEMAN Zak | 70 |
14 | NEUMAN Dominik | 72 |
15 | BUDZIŃSKI Tomasz | 69 |
18 | HAUGLAND Kasper | 74 |