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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hernández
1
64 kgRamírez
2
61 kgLastras
3
68 kgSevilla
4
62 kgCobo
6
62 kgValjavec
7
59 kgZaballa
8
66 kg
1
64 kgRamírez
2
61 kgLastras
3
68 kgSevilla
4
62 kgCobo
6
62 kgValjavec
7
59 kgZaballa
8
66 kg
Weight (KG) →
Result →
68
59
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HERNÁNDEZ Aitor | 64 |
| 2 | RAMÍREZ Javier | 61 |
| 3 | LASTRAS Pablo | 68 |
| 4 | SEVILLA Óscar | 62 |
| 6 | COBO Juan José | 62 |
| 7 | VALJAVEC Tadej | 59 |
| 8 | ZABALLA Constantino | 66 |