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.
Magiera
1
78 kgBławdzin
4
69 kgHanusik
5
74 kgHojlund
6
80 kgCzechowski
8
75 kgSaidkhuzhin
10
69 kg
1
78 kgBławdzin
4
69 kgHanusik
5
74 kgHojlund
6
80 kgCzechowski
8
75 kgSaidkhuzhin
10
69 kg
Weight (KG) →
Result →
80
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGIERA Jan | 78 |
| 4 | BŁAWDZIN Andrzej | 69 |
| 5 | HANUSIK Zygmunt | 74 |
| 6 | HOJLUND Ole | 80 |
| 8 | CZECHOWSKI Zenon | 75 |
| 10 | SAIDKHUZHIN Gainan | 69 |