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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Skalniak-Sójka
1
54 kgLach
2
59 kgJaskulska
3
52 kgKarasiewicz
6
69 kgNerlo
8
65 kgKowalska
13
63 kg
1
54 kgLach
2
59 kgJaskulska
3
52 kgKarasiewicz
6
69 kgNerlo
8
65 kgKowalska
13
63 kg
Weight (KG) →
Result →
69
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 2 | LACH Marta | 59 |
| 3 | JASKULSKA Marta | 52 |
| 6 | KARASIEWICZ Karolina | 69 |
| 8 | NERLO Aurela | 65 |
| 13 | KOWALSKA Aleksandra | 63 |