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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Paulitz-Müller
6
57 kgBrems-Kurreck
8
57 kgKupfernagel
10
68 kgRossner
12
64 kgMillward
16
56 kgHohlfeld
19
57 kg
6
57 kgBrems-Kurreck
8
57 kgKupfernagel
10
68 kgRossner
12
64 kgMillward
16
56 kgHohlfeld
19
57 kg
Weight (KG) →
Result →
68
56
6
19
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | PAULITZ-MÜLLER Viola | 57 |
| 8 | BREMS-KURRECK Karen | 57 |
| 10 | KUPFERNAGEL Hanka | 68 |
| 12 | ROSSNER Petra | 64 |
| 16 | MILLWARD Anna | 56 |
| 19 | HOHLFELD Vera | 57 |