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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gimeno
4
73 kgElys
6
65 kgBerrendero
7
63 kgThiétard
11
68 kgVietto
13
67 kg
4
73 kgElys
6
65 kgBerrendero
7
63 kgThiétard
11
68 kgVietto
13
67 kg
Weight (KG) →
Result →
73
63
4
13
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GIMENO Juan | 73 |
| 6 | ELYS Cipriano | 65 |
| 7 | BERRENDERO Julián | 63 |
| 11 | THIÉTARD Louis | 68 |
| 13 | VIETTO René | 67 |