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 = -2.5 * weight + 205
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Rostollan
7
68 kgImpanis
27
69 kgForestier
31
70 kgCerami
32
72 kgDaems
54
64 kg
7
68 kgImpanis
27
69 kgForestier
31
70 kgCerami
32
72 kgDaems
54
64 kg
Weight (KG) →
Result →
72
64
7
54
# | Rider | Weight (KG) |
---|---|---|
7 | ROSTOLLAN Louis | 68 |
27 | IMPANIS Raymond | 69 |
31 | FORESTIER Jean | 70 |
32 | CERAMI Pino | 72 |
54 | DAEMS Emile | 64 |