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 + 75
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Petrov
29
66 kgOostlander
31
78 kgGerganov
40
60 kgȚvetcov
50
69 kgMuusse
72
67 kgPantea
76
69 kg
29
66 kgOostlander
31
78 kgGerganov
40
60 kgȚvetcov
50
69 kgMuusse
72
67 kgPantea
76
69 kg
Weight (KG) →
Result →
78
60
29
76
| # | Rider | Weight (KG) |
|---|---|---|
| 29 | PETROV Daniel Bogomilov | 66 |
| 31 | OOSTLANDER Sander | 78 |
| 40 | GERGANOV Evgeni | 60 |
| 50 | ȚVETCOV Serghei | 69 |
| 72 | MUUSSE Michael | 67 |
| 76 | PANTEA Marius | 69 |