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 = 0.4 * weight + 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Gerganov
37
60 kgPetrov
38
66 kgOostlander
41
78 kgMuusse
54
67 kgPantea
57
69 kgȚvetcov
80
69 kg
37
60 kgPetrov
38
66 kgOostlander
41
78 kgMuusse
54
67 kgPantea
57
69 kgȚvetcov
80
69 kg
Weight (KG) →
Result →
78
60
37
80
| # | Rider | Weight (KG) |
|---|---|---|
| 37 | GERGANOV Evgeni | 60 |
| 38 | PETROV Daniel Bogomilov | 66 |
| 41 | OOSTLANDER Sander | 78 |
| 54 | MUUSSE Michael | 67 |
| 57 | PANTEA Marius | 69 |
| 80 | ȚVETCOV Serghei | 69 |