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.
Zieliński
3
80 kgMoiceanu
5
72 kgHautalahti
6
75 kgNijdam
8
75 kgMelikhov
9
76 kgPetrov
10
76 kg
3
80 kgMoiceanu
5
72 kgHautalahti
6
75 kgNijdam
8
75 kgMelikhov
9
76 kgPetrov
10
76 kg
Weight (KG) →
Result →
80
72
3
10
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ZIELIŃSKI Rajmund | 80 |
| 5 | MOICEANU Gabriel | 72 |
| 6 | HAUTALAHTI Unto | 75 |
| 8 | NIJDAM Henk | 75 |
| 9 | MELIKHOV Yury | 76 |
| 10 | PETROV Aleksei | 76 |