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 = 1.5 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Berrendero
1
63 kgElys
7
65 kgCosson
10
64 kgGimeno
15
73 kgVietto
23
67 kgThiétard
28
68 kg
1
63 kgElys
7
65 kgCosson
10
64 kgGimeno
15
73 kgVietto
23
67 kgThiétard
28
68 kg
Weight (KG) →
Result →
73
63
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERRENDERO Julián | 63 |
| 7 | ELYS Cipriano | 65 |
| 10 | COSSON Victor | 64 |
| 15 | GIMENO Juan | 73 |
| 23 | VIETTO René | 67 |
| 28 | THIÉTARD Louis | 68 |