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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Donnenwirth
1
63 kgBurnett
2
73 kgVerwilt
4
76 kgPeter
5
63 kgBelleri
8
71 kg
1
63 kgBurnett
2
73 kgVerwilt
4
76 kgPeter
5
63 kgBelleri
8
71 kg
Weight (KG) →
Result →
76
63
1
8
# | Rider | Weight (KG) |
---|---|---|
1 | DONNENWIRTH Tom | 63 |
2 | BURNETT Josh | 73 |
4 | VERWILT Mauro | 76 |
5 | PETER Jannis | 63 |
8 | BELLERI Michael | 71 |