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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Dignef
2
70 kgDeloor
3
72 kgDeloor
4
79 kgRoosemont
5
80 kgLaloup
14
72 kg
2
70 kgDeloor
3
72 kgDeloor
4
79 kgRoosemont
5
80 kgLaloup
14
72 kg
Weight (KG) →
Result →
80
70
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DIGNEF Antoon | 70 |
| 3 | DELOOR Alfons | 72 |
| 4 | DELOOR Gustaaf | 79 |
| 5 | ROOSEMONT Leopold | 80 |
| 14 | LALOUP Georges | 72 |