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 - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kasper
3
59 kgPankova
8
52 kgPitel
10
52 kgBurchenkova
11
67 kgKashchyshyna
19
53 kgVysotska
29
55 kgLupeikis
36
80 kg
3
59 kgPankova
8
52 kgPitel
10
52 kgBurchenkova
11
67 kgKashchyshyna
19
53 kgVysotska
29
55 kgLupeikis
36
80 kg
Weight (KG) →
Result →
80
52
3
36
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KASPER Romy | 59 |
| 8 | PANKOVA Larisa | 52 |
| 10 | PITEL Edwige | 52 |
| 11 | BURCHENKOVA Alexandra | 67 |
| 19 | KASHCHYSHYNA Oksana | 53 |
| 29 | VYSOTSKA Ievgeniia | 55 |
| 36 | LUPEIKIS Remigius | 80 |