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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kasper
3
59 kgPankova
6
52 kgVysotska
12
55 kgBurchenkova
16
67 kgPitel
18
52 kgKashchyshyna
21
53 kg
3
59 kgPankova
6
52 kgVysotska
12
55 kgBurchenkova
16
67 kgPitel
18
52 kgKashchyshyna
21
53 kg
Weight (KG) →
Result →
67
52
3
21
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KASPER Romy | 59 |
| 6 | PANKOVA Larisa | 52 |
| 12 | VYSOTSKA Ievgeniia | 55 |
| 16 | BURCHENKOVA Alexandra | 67 |
| 18 | PITEL Edwige | 52 |
| 21 | KASHCHYSHYNA Oksana | 53 |