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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Souchard
1
62 kgLenaers
2
80 kgJordens
6
72 kgVille
8
68 kgLacolle
9
82 kgRich
11
61 kgCoomans
12
62 kgGilles
18
66 kg
1
62 kgLenaers
2
80 kgJordens
6
72 kgVille
8
68 kgLacolle
9
82 kgRich
11
61 kgCoomans
12
62 kgGilles
18
66 kg
Weight (KG) →
Result →
82
61
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOUCHARD Achille | 62 |
| 2 | LENAERS Victor | 80 |
| 6 | JORDENS Albert | 72 |
| 8 | VILLE Maurice | 68 |
| 9 | LACOLLE Roger | 82 |
| 11 | RICH Lucien | 61 |
| 12 | COOMANS Jacques | 62 |
| 18 | GILLES Alexandre | 66 |