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 + 26
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Țvetcov
22
69 kgGerganov
29
60 kgPetrov
36
66 kgOostlander
38
78 kgPantea
69
69 kgMuusse
75
67 kg
22
69 kgGerganov
29
60 kgPetrov
36
66 kgOostlander
38
78 kgPantea
69
69 kgMuusse
75
67 kg
Weight (KG) →
Result →
78
60
22
75
| # | Rider | Weight (KG) |
|---|---|---|
| 22 | ȚVETCOV Serghei | 69 |
| 29 | GERGANOV Evgeni | 60 |
| 36 | PETROV Daniel Bogomilov | 66 |
| 38 | OOSTLANDER Sander | 78 |
| 69 | PANTEA Marius | 69 |
| 75 | MUUSSE Michael | 67 |