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 + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Pruus
1
71 kgLudvigsson
4
71 kgLaas
5
76 kgLiepiņš
6
67 kgVorganov
8
65 kg
1
71 kgLudvigsson
4
71 kgLaas
5
76 kgLiepiņš
6
67 kgVorganov
8
65 kg
Weight (KG) →
Result →
76
65
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRUUS Peeter | 71 |
| 4 | LUDVIGSSON Fredrik | 71 |
| 5 | LAAS Martin | 76 |
| 6 | LIEPIŅŠ Emīls | 67 |
| 8 | VORGANOV Eduard | 65 |