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 = 1.1 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Chursina
1
52 kgKasenova
2
52 kgDronova-Balabolina
12
63 kgPliaskina
19
57 kg
1
52 kgKasenova
2
52 kgDronova-Balabolina
12
63 kgPliaskina
19
57 kg
Weight (KG) →
Result →
63
52
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHURSINA Anastasiia | 52 |
| 2 | KASENOVA Karina | 52 |
| 12 | DRONOVA-BALABOLINA Tamara | 63 |
| 19 | PLIASKINA Anastasiia | 57 |