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 - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Grimbert
1
68 kgGoutorbe
2
69 kgBourlon
4
72 kgOubron
6
69 kgFréchaut
8
78 kg
1
68 kgGoutorbe
2
69 kgBourlon
4
72 kgOubron
6
69 kgFréchaut
8
78 kg
Weight (KG) →
Result →
78
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRIMBERT Gaston | 68 |
| 2 | GOUTORBE Joseph | 69 |
| 4 | BOURLON Albert | 72 |
| 6 | OUBRON Robert | 69 |
| 8 | FRÉCHAUT Jean | 78 |