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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Lenaers
1
80 kgSouchard
3
62 kgVille
5
68 kgCoomans
9
62 kgLacolle
10
82 kgRich
11
61 kgJordens
12
72 kgGilles
16
66 kg
1
80 kgSouchard
3
62 kgVille
5
68 kgCoomans
9
62 kgLacolle
10
82 kgRich
11
61 kgJordens
12
72 kgGilles
16
66 kg
Weight (KG) →
Result →
82
61
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LENAERS Victor | 80 |
| 3 | SOUCHARD Achille | 62 |
| 5 | VILLE Maurice | 68 |
| 9 | COOMANS Jacques | 62 |
| 10 | LACOLLE Roger | 82 |
| 11 | RICH Lucien | 61 |
| 12 | JORDENS Albert | 72 |
| 16 | GILLES Alexandre | 66 |