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 = 1.6 * weight - 84
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Skalniak-Sójka
1
54 kgLach
2
59 kgJaskulska
3
52 kgWankiewicz
18
58 kgMikołajewska
21
65 kgKowalska
22
63 kg
1
54 kgLach
2
59 kgJaskulska
3
52 kgWankiewicz
18
58 kgMikołajewska
21
65 kgKowalska
22
63 kg
Weight (KG) →
Result →
65
52
1
22
# | Rider | Weight (KG) |
---|---|---|
1 | SKALNIAK-SÓJKA Agnieszka | 54 |
2 | LACH Marta | 59 |
3 | JASKULSKA Marta | 52 |
18 | WANKIEWICZ Olga | 58 |
21 | MIKOŁAJEWSKA Kornelia | 65 |
22 | KOWALSKA Aleksandra | 63 |