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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Demeyer
2
85 kgElorriaga
4
85 kgParecchini
5
71 kgGavazzi
8
67 kgMoser
21
79 kgVandi
23
64 kg
2
85 kgElorriaga
4
85 kgParecchini
5
71 kgGavazzi
8
67 kgMoser
21
79 kgVandi
23
64 kg
Weight (KG) →
Result →
85
64
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEMEYER Marc | 85 |
| 4 | ELORRIAGA Javier Francisco | 85 |
| 5 | PARECCHINI Aldo | 71 |
| 8 | GAVAZZI Pierino | 67 |
| 21 | MOSER Francesco | 79 |
| 23 | VANDI Alfio | 64 |