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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Petrov
1
76 kgSmolík
2
73 kgSaidkhuzhin
7
69 kgHáva
8
62 kgKegel
10
72 kg
1
76 kgSmolík
2
73 kgSaidkhuzhin
7
69 kgHáva
8
62 kgKegel
10
72 kg
Weight (KG) →
Result →
76
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Aleksei | 76 |
| 2 | SMOLÍK Jan | 73 |
| 7 | SAIDKHUZHIN Gainan | 69 |
| 8 | HÁVA Jiří | 62 |
| 10 | KEGEL Marian | 72 |