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 = -0.4 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Godard
2
65 kgCarini
3
69 kgOubron
4
69 kgGoutorbe
6
69 kgAllès
7
63 kgCacheux
8
60 kg
2
65 kgCarini
3
69 kgOubron
4
69 kgGoutorbe
6
69 kgAllès
7
63 kgCacheux
8
60 kg
Weight (KG) →
Result →
69
60
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GODARD Robert | 65 |
| 3 | CARINI Bruno | 69 |
| 4 | OUBRON Robert | 69 |
| 6 | GOUTORBE Joseph | 69 |
| 7 | ALLÈS Pierre | 63 |
| 8 | CACHEUX Maurice | 60 |