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 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Rodas
1
68 kgCepeda
8
61 kgKoontz
10
80 kgGuamá
18
61 kgVelasco
45
58 kgNobel
47
78 kg
1
68 kgCepeda
8
61 kgKoontz
10
80 kgGuamá
18
61 kgVelasco
45
58 kgNobel
47
78 kg
Weight (KG) →
Result →
80
58
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODAS Manuel | 68 |
| 8 | CEPEDA Jefferson Alveiro | 61 |
| 10 | KOONTZ Grant | 80 |
| 18 | GUAMÁ Byron | 61 |
| 45 | VELASCO Henry | 58 |
| 47 | NOBEL Rick | 78 |