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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kogut
1
77 kgLunder
5
78 kgFranz
6
60 kgGrosu
7
68 kgSzóstka
8
63 kgGathemann
11
62 kgSteininger
12
64 kgDik
15
77 kg
1
77 kgLunder
5
78 kgFranz
6
60 kgGrosu
7
68 kgSzóstka
8
63 kgGathemann
11
62 kgSteininger
12
64 kgDik
15
77 kg
Weight (KG) →
Result →
78
60
1
15
# | Rider | Weight (KG) |
---|---|---|
1 | KOGUT Oded | 77 |
5 | LUNDER Eirik | 78 |
6 | FRANZ Toni | 60 |
7 | GROSU Eduard-Michael | 68 |
8 | SZÓSTKA Paweł | 63 |
11 | GATHEMANN Albert | 62 |
12 | STEININGER Fabian | 64 |
15 | DIK Calvin | 77 |