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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Amialiusik
4
53 kgBujak
5
63 kgPawlowska
7
60 kgKarasiewicz
12
69 kgWojtyra
16
70 kgMatusiak
18
58 kg
4
53 kgBujak
5
63 kgPawlowska
7
60 kgKarasiewicz
12
69 kgWojtyra
16
70 kgMatusiak
18
58 kg
Weight (KG) →
Result →
70
53
4
18
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | AMIALIUSIK Alena | 53 |
| 5 | BUJAK Eugenia | 63 |
| 7 | PAWLOWSKA Katarzyna | 60 |
| 12 | KARASIEWICZ Karolina | 69 |
| 16 | WOJTYRA Malgorzata | 70 |
| 18 | MATUSIAK Bogumiła | 58 |