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 = -0.3 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Guidi
2
73 kgPiccoli
4
64 kgSpruch
5
68 kgMcRae
7
62 kgBaranowski
8
68 kg
2
73 kgPiccoli
4
64 kgSpruch
5
68 kgMcRae
7
62 kgBaranowski
8
68 kg
Weight (KG) →
Result →
73
62
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUIDI Fabrizio | 73 |
| 4 | PICCOLI Mariano | 64 |
| 5 | SPRUCH Zbigniew | 68 |
| 7 | MCRAE William Chann | 62 |
| 8 | BARANOWSKI Dariusz | 68 |