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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Beltman
2
68 kgGunnewijk
5
67 kgSoeder
7
52 kgMatusiak
8
58 kgLindberg
10
63 kg
2
68 kgGunnewijk
5
67 kgSoeder
7
52 kgMatusiak
8
58 kgLindberg
10
63 kg
Weight (KG) →
Result →
68
52
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELTMAN Chantal | 68 |
| 5 | GUNNEWIJK Loes | 67 |
| 7 | SOEDER Christiane | 52 |
| 8 | MATUSIAK Bogumiła | 58 |
| 10 | LINDBERG Madeleine | 63 |