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 = 0.9 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Burchenkova
1
67 kgPitel
2
52 kgPankova
8
52 kgVysotska
9
55 kgKasper
11
59 kgKashchyshyna
14
53 kgLupeikis
40
80 kg
1
67 kgPitel
2
52 kgPankova
8
52 kgVysotska
9
55 kgKasper
11
59 kgKashchyshyna
14
53 kgLupeikis
40
80 kg
Weight (KG) →
Result →
80
52
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURCHENKOVA Alexandra | 67 |
| 2 | PITEL Edwige | 52 |
| 8 | PANKOVA Larisa | 52 |
| 9 | VYSOTSKA Ievgeniia | 55 |
| 11 | KASPER Romy | 59 |
| 14 | KASHCHYSHYNA Oksana | 53 |
| 40 | LUPEIKIS Remigius | 80 |