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 = 0.5 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Mugerli
1
68 kgShushemoin
2
62 kgRamanau
5
68 kgDima
7
73 kgBazhkou
9
65 kgCholakov
13
66 kgRumac
15
71 kg
1
68 kgShushemoin
2
62 kgRamanau
5
68 kgDima
7
73 kgBazhkou
9
65 kgCholakov
13
66 kgRumac
15
71 kg
Weight (KG) →
Result →
73
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGERLI Matej | 68 |
| 2 | SHUSHEMOIN Alexandr | 62 |
| 5 | RAMANAU Raman | 68 |
| 7 | DIMA Emil | 73 |
| 9 | BAZHKOU Stanislau | 65 |
| 13 | CHOLAKOV Stanimir | 66 |
| 15 | RUMAC Josip | 71 |