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 = 1.1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Pikulik
3
54 kgSkalniak-Sójka
5
54 kgLach
7
59 kgJaskulska
8
52 kgWankiewicz
10
58 kgNerlo
20
65 kgKarasiewicz
23
69 kg
3
54 kgSkalniak-Sójka
5
54 kgLach
7
59 kgJaskulska
8
52 kgWankiewicz
10
58 kgNerlo
20
65 kgKarasiewicz
23
69 kg
Weight (KG) →
Result →
69
52
3
23
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PIKULIK Daria | 54 |
| 5 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 7 | LACH Marta | 59 |
| 8 | JASKULSKA Marta | 52 |
| 10 | WANKIEWICZ Olga | 58 |
| 20 | NERLO Aurela | 65 |
| 23 | KARASIEWICZ Karolina | 69 |