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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bartali
1
69 kgEgli
2
72 kgEzquerra
3
63 kgGianello
4
57 kgÁlvarez
5
61 kgBerrendero
7
63 kgElys
10
65 kg
1
69 kgEgli
2
72 kgEzquerra
3
63 kgGianello
4
57 kgÁlvarez
5
61 kgBerrendero
7
63 kgElys
10
65 kg
Weight (KG) →
Result →
72
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 2 | EGLI Paul | 72 |
| 3 | EZQUERRA Federico | 63 |
| 4 | GIANELLO Dante | 57 |
| 5 | ÁLVAREZ Emiliano | 61 |
| 7 | BERRENDERO Julián | 63 |
| 10 | ELYS Cipriano | 65 |