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 = -0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Amialiusik
7
53 kgKarasiewicz
9
69 kgWojtyra
10
70 kgBujak
15
63 kgMatusiak
18
58 kgPawlowska
20
60 kg
7
53 kgKarasiewicz
9
69 kgWojtyra
10
70 kgBujak
15
63 kgMatusiak
18
58 kgPawlowska
20
60 kg
Weight (KG) →
Result →
70
53
7
20
# | Rider | Weight (KG) |
---|---|---|
7 | AMIALIUSIK Alena | 53 |
9 | KARASIEWICZ Karolina | 69 |
10 | WOJTYRA Malgorzata | 70 |
15 | BUJAK Eugenia | 63 |
18 | MATUSIAK Bogumiła | 58 |
20 | PAWLOWSKA Katarzyna | 60 |