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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Petrov
1
76 kgRuiner
5
64 kgKapitonov
6
73 kgMelikhov
7
76 kgEckstein
10
57 kg
1
76 kgRuiner
5
64 kgKapitonov
6
73 kgMelikhov
7
76 kgEckstein
10
57 kg
Weight (KG) →
Result →
76
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Aleksei | 76 |
| 5 | RUINER Arnold | 64 |
| 6 | KAPITONOV Viktor | 73 |
| 7 | MELIKHOV Yury | 76 |
| 10 | ECKSTEIN Bernhard | 57 |