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 = -0.2 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Oostlander
1
78 kgGerganov
5
60 kgPetrov
20
66 kgPantea
73
69 kgMuusse
86
67 kgȚvetcov
87
69 kg
1
78 kgGerganov
5
60 kgPetrov
20
66 kgPantea
73
69 kgMuusse
86
67 kgȚvetcov
87
69 kg
Weight (KG) →
Result →
78
60
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OOSTLANDER Sander | 78 |
| 5 | GERGANOV Evgeni | 60 |
| 20 | PETROV Daniel Bogomilov | 66 |
| 73 | PANTEA Marius | 69 |
| 86 | MUUSSE Michael | 67 |
| 87 | ȚVETCOV Serghei | 69 |