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 = -0.2 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Chaabane
1
70 kgLagab
1
63 kgMansouri
2
66 kgJaser
6
75 kgVan Aken
11
56 kgPyfferoen
12
68 kg
1
70 kgLagab
1
63 kgMansouri
2
66 kgJaser
6
75 kgVan Aken
11
56 kgPyfferoen
12
68 kg
Weight (KG) →
Result →
75
56
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAABANE Hichem | 70 |
| 1 | LAGAB Azzedine | 63 |
| 2 | MANSOURI Abderrahmane | 66 |
| 6 | JASER Nazir | 75 |
| 11 | VAN AKEN Matthias | 56 |
| 12 | PYFFEROEN Matthias | 68 |