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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Chursina
2
52 kgNovolodskaia
6
57 kgKononenko
11
68 kgDronova-Balabolina
15
63 kgMelnychuk
19
55 kg
2
52 kgNovolodskaia
6
57 kgKononenko
11
68 kgDronova-Balabolina
15
63 kgMelnychuk
19
55 kg
Weight (KG) →
Result →
68
52
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHURSINA Anastasiia | 52 |
| 6 | NOVOLODSKAIA Maria | 57 |
| 11 | KONONENKO Valeriya | 68 |
| 15 | DRONOVA-BALABOLINA Tamara | 63 |
| 19 | MELNYCHUK Viktoriia | 55 |