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 = 2.4 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Bartali
1
69 kgVietto
4
67 kgBerrendero
7
63 kgThiétard
24
68 kgBini
27
72 kgAmberg
29
72 kg
1
69 kgVietto
4
67 kgBerrendero
7
63 kgThiétard
24
68 kgBini
27
72 kgAmberg
29
72 kg
Weight (KG) →
Result →
72
63
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 4 | VIETTO René | 67 |
| 7 | BERRENDERO Julián | 63 |
| 24 | THIÉTARD Louis | 68 |
| 27 | BINI Aldo | 72 |
| 29 | AMBERG Leo | 72 |