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 = 1.4 * weight - 80
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Cordes
9
70 kgMuseeuw
10
71 kgCabello
23
72 kgMartinello
27
71 kgPieters
34
82 kgDemol
40
72 kg
9
70 kgMuseeuw
10
71 kgCabello
23
72 kgMartinello
27
71 kgPieters
34
82 kgDemol
40
72 kg
Weight (KG) →
Result →
82
70
9
40
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | CORDES Tom | 70 |
| 10 | MUSEEUW Johan | 71 |
| 23 | CABELLO Francisco | 72 |
| 27 | MARTINELLO Silvio | 71 |
| 34 | PIETERS Peter | 82 |
| 40 | DEMOL Dirk | 72 |