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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Riabchenko
1
57 kgPitel
3
52 kgNeylan
4
52 kgVieceli
8
59 kgKupfernagel
11
68 kgCecchini
12
52 kgRagažinskienė
13
58 kg
1
57 kgPitel
3
52 kgNeylan
4
52 kgVieceli
8
59 kgKupfernagel
11
68 kgCecchini
12
52 kgRagažinskienė
13
58 kg
Weight (KG) →
Result →
68
52
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIABCHENKO Tetyana | 57 |
| 3 | PITEL Edwige | 52 |
| 4 | NEYLAN Rachel | 52 |
| 8 | VIECELI Lara | 59 |
| 11 | KUPFERNAGEL Hanka | 68 |
| 12 | CECCHINI Elena | 52 |
| 13 | RAGAŽINSKIENĖ Daiva | 58 |