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 * weight - 64
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Larronde
1
71 kgScott
3
76 kgTruffer
4
73 kgMedina
5
64 kgChurch
6
70 kgDe Groote
28
77 kg
1
71 kgScott
3
76 kgTruffer
4
73 kgMedina
5
64 kgChurch
6
70 kgDe Groote
28
77 kg
Weight (KG) →
Result →
77
64
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | LARRONDE Ellande | 71 |
3 | SCOTT Oliver | 76 |
4 | TRUFFER Carl | 73 |
5 | MEDINA Joaquin | 64 |
6 | CHURCH Nolan | 70 |
28 | DE GROOTE Augustus | 77 |