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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Lagkuti
1
68 kgBazhkou
3
65 kgTivani
4
67 kgCholakov
5
66 kgButs
6
68 kg
1
68 kgBazhkou
3
65 kgTivani
4
67 kgCholakov
5
66 kgButs
6
68 kg
Weight (KG) →
Result →
68
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGKUTI Sergiy | 68 |
| 3 | BAZHKOU Stanislau | 65 |
| 4 | TIVANI German Nicolás | 67 |
| 5 | CHOLAKOV Stanimir | 66 |
| 6 | BUTS Vitaliy | 68 |