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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bommel
1
75 kgCaldeira
5
76 kgȚvetcov
6
69 kgHristov
11
57 kgGerganov
20
60 kgLivramento
24
55 kgPetrov
25
66 kg
1
75 kgCaldeira
5
76 kgȚvetcov
6
69 kgHristov
11
57 kgGerganov
20
60 kgLivramento
24
55 kgPetrov
25
66 kg
Weight (KG) →
Result →
76
55
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOMMEL Henning | 75 |
| 5 | CALDEIRA Samuel José | 76 |
| 6 | ȚVETCOV Serghei | 69 |
| 11 | HRISTOV Stefan Koychev | 57 |
| 20 | GERGANOV Evgeni | 60 |
| 24 | LIVRAMENTO David | 55 |
| 25 | PETROV Daniel Bogomilov | 66 |