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 = 0.8 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Burchenkova
1
67 kgPitel
3
52 kgPankova
6
52 kgVysotska
7
55 kgKashchyshyna
18
53 kgKasper
19
59 kgLupeikis
36
80 kg
1
67 kgPitel
3
52 kgPankova
6
52 kgVysotska
7
55 kgKashchyshyna
18
53 kgKasper
19
59 kgLupeikis
36
80 kg
Weight (KG) →
Result →
80
52
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURCHENKOVA Alexandra | 67 |
| 3 | PITEL Edwige | 52 |
| 6 | PANKOVA Larisa | 52 |
| 7 | VYSOTSKA Ievgeniia | 55 |
| 18 | KASHCHYSHYNA Oksana | 53 |
| 19 | KASPER Romy | 59 |
| 36 | LUPEIKIS Remigius | 80 |