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 = 0.6 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kuschynski
1
65 kgSaramotins
2
75 kgVorganov
4
65 kgKunitski
5
72 kgBelkov
7
71 kgKrivtsov
11
72 kgPorsev
15
80 kg
1
65 kgSaramotins
2
75 kgVorganov
4
65 kgKunitski
5
72 kgBelkov
7
71 kgKrivtsov
11
72 kgPorsev
15
80 kg
Weight (KG) →
Result →
80
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUSCHYNSKI Aleksandr | 65 |
| 2 | SARAMOTINS Aleksejs | 75 |
| 4 | VORGANOV Eduard | 65 |
| 5 | KUNITSKI Andrei | 72 |
| 7 | BELKOV Maxim | 71 |
| 11 | KRIVTSOV Dmytro | 72 |
| 15 | PORSEV Alexander | 80 |