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 + 43
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kupfernagel
1
68 kgMarunde
5
58 kgRossner
7
64 kgTeutenberg
8
64 kgArndt
10
59 kgHohlfeld
11
57 kg
1
68 kgMarunde
5
58 kgRossner
7
64 kgTeutenberg
8
64 kgArndt
10
59 kgHohlfeld
11
57 kg
Weight (KG) →
Result →
68
57
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUPFERNAGEL Hanka | 68 |
| 5 | MARUNDE Regina | 58 |
| 7 | ROSSNER Petra | 64 |
| 8 | TEUTENBERG Ina-Yoko | 64 |
| 10 | ARNDT Judith | 59 |
| 11 | HOHLFELD Vera | 57 |