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 + 38
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Pankova
15
52 kgBoyarskaya
31
67 kgPliaskina
41
57 kgChursina
49
52 kg
15
52 kgBoyarskaya
31
67 kgPliaskina
41
57 kgChursina
49
52 kg
Weight (KG) →
Result →
67
52
15
49
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | PANKOVA Larisa | 52 |
| 31 | BOYARSKAYA Natalia | 67 |
| 41 | PLIASKINA Anastasiia | 57 |
| 49 | CHURSINA Anastasiia | 52 |