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 = 1.1 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Stalnov
1
63 kgPolnický
2
68 kgHagen
7
65 kgShilov
8
67 kgMugerli
11
68 kgSchlegel
12
72 kgEibegger
13
68 kg
1
63 kgPolnický
2
68 kgHagen
7
65 kgShilov
8
67 kgMugerli
11
68 kgSchlegel
12
72 kgEibegger
13
68 kg
Weight (KG) →
Result →
72
63
1
13
# | Rider | Weight (KG) |
---|---|---|
1 | STALNOV Nikita | 63 |
2 | POLNICKÝ Jiří | 68 |
7 | HAGEN Carl Fredrik | 65 |
8 | SHILOV Sergey | 67 |
11 | MUGERLI Matej | 68 |
12 | SCHLEGEL Michal | 72 |
13 | EIBEGGER Markus | 68 |