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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Planckaert
1
69 kgMartinelli
2
74 kgMoser
3
79 kgFernández
4
68 kgVandi
5
64 kg
1
69 kgMartinelli
2
74 kgMoser
3
79 kgFernández
4
68 kgVandi
5
64 kg
Weight (KG) →
Result →
79
64
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 2 | MARTINELLI Giuseppe | 74 |
| 3 | MOSER Francesco | 79 |
| 4 | FERNÁNDEZ Juan | 68 |
| 5 | VANDI Alfio | 64 |