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 - 38
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Arndt
1
59 kgRossner
2
64 kgSchleicher
3
58 kgHohlfeld
8
57 kgBecker
12
64 kgSandig
21
62 kg
1
59 kgRossner
2
64 kgSchleicher
3
58 kgHohlfeld
8
57 kgBecker
12
64 kgSandig
21
62 kg
Weight (KG) →
Result →
64
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARNDT Judith | 59 |
| 2 | ROSSNER Petra | 64 |
| 3 | SCHLEICHER Regina | 58 |
| 8 | HOHLFELD Vera | 57 |
| 12 | BECKER Charlotte | 64 |
| 21 | SANDIG Madeleine | 62 |