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 = -1.6 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Roosemont
3
80 kgDeloor
6
79 kgDeloor
10
72 kgDignef
16
70 kgLaloup
30
72 kg
3
80 kgDeloor
6
79 kgDeloor
10
72 kgDignef
16
70 kgLaloup
30
72 kg
Weight (KG) →
Result →
80
70
3
30
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROOSEMONT Leopold | 80 |
| 6 | DELOOR Gustaaf | 79 |
| 10 | DELOOR Alfons | 72 |
| 16 | DIGNEF Antoon | 70 |
| 30 | LALOUP Georges | 72 |