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 = 1.4 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Steimle
1
73 kgPaterski
4
73 kgColman
7
73 kgČerný
8
75 kgKukrle
9
73 kg
1
73 kgPaterski
4
73 kgColman
7
73 kgČerný
8
75 kgKukrle
9
73 kg
Weight (KG) →
Result →
75
73
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | STEIMLE Jannik | 73 |
4 | PATERSKI Maciej | 73 |
7 | COLMAN Alex | 73 |
8 | ČERNÝ Josef | 75 |
9 | KUKRLE Michael | 73 |