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 = 1.7 * weight - 111
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Lahsaini
2
77 kgLagab
5
63 kgMorin
6
74 kgAreruya
17
74 kgVerdijck
53
79 kg
2
77 kgLagab
5
63 kgMorin
6
74 kgAreruya
17
74 kgVerdijck
53
79 kg
Weight (KG) →
Result →
79
63
2
53
# | Rider | Weight (KG) |
---|---|---|
2 | LAHSAINI Mouhssine | 77 |
5 | LAGAB Azzedine | 63 |
6 | MORIN Emmanuel | 74 |
17 | ARERUYA Joseph | 74 |
53 | VERDIJCK Niels | 79 |