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 = -0.2 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pozdnyakov
1
67 kgAlizada
2
68 kgMikayilzade
3
66 kgAsadov
4
77 kgJabrayilov
7
52 kg
1
67 kgAlizada
2
68 kgMikayilzade
3
66 kgAsadov
4
77 kgJabrayilov
7
52 kg
Weight (KG) →
Result →
77
52
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POZDNYAKOV Kirill | 67 |
| 2 | ALIZADA Elgun | 68 |
| 3 | MIKAYILZADE Musa | 66 |
| 4 | ASADOV Elchin | 77 |
| 7 | JABRAYILOV Samir | 52 |