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 = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rossner
1
64 kgSchleicher
2
58 kgSandig
4
62 kgKupfernagel
6
68 kgArndt
14
59 kgSpitz
18
60 kgBecker
23
64 kg
1
64 kgSchleicher
2
58 kgSandig
4
62 kgKupfernagel
6
68 kgArndt
14
59 kgSpitz
18
60 kgBecker
23
64 kg
Weight (KG) →
Result →
68
58
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSSNER Petra | 64 |
| 2 | SCHLEICHER Regina | 58 |
| 4 | SANDIG Madeleine | 62 |
| 6 | KUPFERNAGEL Hanka | 68 |
| 14 | ARNDT Judith | 59 |
| 18 | SPITZ Sabine | 60 |
| 23 | BECKER Charlotte | 64 |