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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bramucci
3
70 kgPijnen
5
72 kgLasa
6
68 kgSaéz
11
74 kgTamames
21
66 kgRosiers
28
78 kg
3
70 kgPijnen
5
72 kgLasa
6
68 kgSaéz
11
74 kgTamames
21
66 kgRosiers
28
78 kg
Weight (KG) →
Result →
78
66
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRAMUCCI Giovanni | 70 |
| 5 | PIJNEN René | 72 |
| 6 | LASA Miguel María | 68 |
| 11 | SAÉZ Ramón | 74 |
| 21 | TAMAMES Agustín | 66 |
| 28 | ROSIERS Roger | 78 |