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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Antoshina
6
55 kgChursina
14
52 kgKhatuntseva
15
54 kgPankova
18
52 kgBoyarskaya
24
67 kg
6
55 kgChursina
14
52 kgKhatuntseva
15
54 kgPankova
18
52 kgBoyarskaya
24
67 kg
Weight (KG) →
Result →
67
52
6
24
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | ANTOSHINA Tatiana | 55 |
| 14 | CHURSINA Anastasiia | 52 |
| 15 | KHATUNTSEVA Gulnaz | 54 |
| 18 | PANKOVA Larisa | 52 |
| 24 | BOYARSKAYA Natalia | 67 |