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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Bazhkou
1
65 kgVasilyev
3
70 kgKuschynski
6
65 kgTatarinov
7
67 kgGrigorev
11
73 kgKostyuk
14
66 kg
1
65 kgVasilyev
3
70 kgKuschynski
6
65 kgTatarinov
7
67 kgGrigorev
11
73 kgKostyuk
14
66 kg
Weight (KG) →
Result →
73
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAZHKOU Stanislau | 65 |
| 3 | VASILYEV Maksym | 70 |
| 6 | KUSCHYNSKI Aleksandr | 65 |
| 7 | TATARINOV Gennadiy | 67 |
| 11 | GRIGOREV Aleksandr | 73 |
| 14 | KOSTYUK Denys | 66 |