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 - 22
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Skalniak-Sójka
5
54 kgLach
8
59 kgWankiewicz
11
58 kgKarasiewicz
15
69 kgJaskulska
18
52 kgMikołajewska
31
65 kg
5
54 kgLach
8
59 kgWankiewicz
11
58 kgKarasiewicz
15
69 kgJaskulska
18
52 kgMikołajewska
31
65 kg
Weight (KG) →
Result →
69
52
5
31
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 8 | LACH Marta | 59 |
| 11 | WANKIEWICZ Olga | 58 |
| 15 | KARASIEWICZ Karolina | 69 |
| 18 | JASKULSKA Marta | 52 |
| 31 | MIKOŁAJEWSKA Kornelia | 65 |