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 = 0.5 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Grindley
1
72 kgJackowiak
3
65 kgRaus
5
73 kgZomermaand
7
67 kgJust Pedersen
12
80 kg
1
72 kgJackowiak
3
65 kgRaus
5
73 kgZomermaand
7
67 kgJust Pedersen
12
80 kg
Weight (KG) →
Result →
80
65
1
12
# | Rider | Weight (KG) |
---|---|---|
1 | GRINDLEY Sebastian | 72 |
3 | JACKOWIAK Jan Michal | 65 |
5 | RAUS Jérôme | 73 |
7 | ZOMERMAAND Jurgen | 67 |
12 | JUST PEDERSEN Carl Emil | 80 |