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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bodnar
1
77 kgBatek
2
73 kgCieślik
4
65 kgPaterski
5
73 kgKomar
7
73 kgMarycz
9
69 kgKurek
18
80 kg
1
77 kgBatek
2
73 kgCieślik
4
65 kgPaterski
5
73 kgKomar
7
73 kgMarycz
9
69 kgKurek
18
80 kg
Weight (KG) →
Result →
80
65
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BODNAR Maciej | 77 |
| 2 | BATEK Dariusz | 73 |
| 4 | CIEŚLIK Paweł | 65 |
| 5 | PATERSKI Maciej | 73 |
| 7 | KOMAR Mateusz | 73 |
| 9 | MARYCZ Jarosław | 69 |
| 18 | KUREK Adrian | 80 |