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 = -2.5 * weight + 171
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Boyarskaya
1
67 kgPliaskina
21
57 kgRagažinskienė
26
58 kgChursina
32
52 kgPankova
47
52 kg
1
67 kgPliaskina
21
57 kgRagažinskienė
26
58 kgChursina
32
52 kgPankova
47
52 kg
Weight (KG) →
Result →
67
52
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOYARSKAYA Natalia | 67 |
| 21 | PLIASKINA Anastasiia | 57 |
| 26 | RAGAŽINSKIENĖ Daiva | 58 |
| 32 | CHURSINA Anastasiia | 52 |
| 47 | PANKOVA Larisa | 52 |