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 = -0.3 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sevilla
1
62 kgVargas
4
69 kgAcevedo
5
63 kgCaicedo
6
62 kgDuarte
7
55 kgArdila
9
58 kgParedes
10
63 kg
1
62 kgVargas
4
69 kgAcevedo
5
63 kgCaicedo
6
62 kgDuarte
7
55 kgArdila
9
58 kgParedes
10
63 kg
Weight (KG) →
Result →
69
55
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 4 | VARGAS Walter | 69 |
| 5 | ACEVEDO Janier | 63 |
| 6 | CAICEDO Jonathan Klever | 62 |
| 7 | DUARTE Fabio | 55 |
| 9 | ARDILA Mauricio Alberto | 58 |
| 10 | PAREDES Jonathan | 63 |