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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Komin
1
63 kgSisr
6
72 kgBuchmann
7
59 kgSchlegel
8
72 kgCuadros
9
67 kgNych
10
76 kgWiśniowski
11
78 kg
1
63 kgSisr
6
72 kgBuchmann
7
59 kgSchlegel
8
72 kgCuadros
9
67 kgNych
10
76 kgWiśniowski
11
78 kg
Weight (KG) →
Result →
78
59
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOMIN Aleksandr | 63 |
| 6 | SISR František | 72 |
| 7 | BUCHMANN Emanuel | 59 |
| 8 | SCHLEGEL Michal | 72 |
| 9 | CUADROS Álvaro | 67 |
| 10 | NYCH Artem | 76 |
| 11 | WIŚNIOWSKI Łukasz | 78 |