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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Riabchenko
1
57 kgSolovey
3
56 kgShekel
4
58 kgVysotska
7
55 kgKononenko
12
68 kg
1
57 kgSolovey
3
56 kgShekel
4
58 kgVysotska
7
55 kgKononenko
12
68 kg
Weight (KG) →
Result →
68
55
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIABCHENKO Tetyana | 57 |
| 3 | SOLOVEY Hanna | 56 |
| 4 | SHEKEL Olga | 58 |
| 7 | VYSOTSKA Ievgeniia | 55 |
| 12 | KONONENKO Valeriya | 68 |