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 - 55
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Kasper
2
59 kgPitel
3
52 kgBurchenkova
5
67 kgVysotska
6
55 kgKashchyshyna
8
53 kgPankova
9
52 kgLupeikis
42
80 kg
2
59 kgPitel
3
52 kgBurchenkova
5
67 kgVysotska
6
55 kgKashchyshyna
8
53 kgPankova
9
52 kgLupeikis
42
80 kg
Weight (KG) →
Result →
80
52
2
42
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KASPER Romy | 59 |
| 3 | PITEL Edwige | 52 |
| 5 | BURCHENKOVA Alexandra | 67 |
| 6 | VYSOTSKA Ievgeniia | 55 |
| 8 | KASHCHYSHYNA Oksana | 53 |
| 9 | PANKOVA Larisa | 52 |
| 42 | LUPEIKIS Remigius | 80 |