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 = -1.2 * weight + 78
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Stephens
1
55 kgSierra
5
57 kgFaulkner
6
62 kgRamirez
9
54 kgPrieto
10
54 kgPeñuela
14
53 kgMuñoz
31
54 kg
1
55 kgSierra
5
57 kgFaulkner
6
62 kgRamirez
9
54 kgPrieto
10
54 kgPeñuela
14
53 kgMuñoz
31
54 kg
Weight (KG) →
Result →
62
53
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEPHENS Lauren | 55 |
| 5 | SIERRA Arlenis | 57 |
| 6 | FAULKNER Kristen | 62 |
| 9 | RAMIREZ Andrea | 54 |
| 10 | PRIETO Marcela Elizabeth | 54 |
| 14 | PEÑUELA Diana | 53 |
| 31 | MUÑOZ Paola Andrea | 54 |