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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Areruya
4
74 kgLahsaini
5
77 kgMorin
6
74 kgLagab
7
63 kgVerdijck
25
79 kg
4
74 kgLahsaini
5
77 kgMorin
6
74 kgLagab
7
63 kgVerdijck
25
79 kg
Weight (KG) →
Result →
79
63
4
25
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ARERUYA Joseph | 74 |
| 5 | LAHSAINI Mouhssine | 77 |
| 6 | MORIN Emmanuel | 74 |
| 7 | LAGAB Azzedine | 63 |
| 25 | VERDIJCK Niels | 79 |