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 = 0.6 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Deloor
2
72 kgDignef
4
70 kgLaloup
5
72 kgDeloor
9
79 kgRoosemont
9
80 kg
2
72 kgDignef
4
70 kgLaloup
5
72 kgDeloor
9
79 kgRoosemont
9
80 kg
Weight (KG) →
Result →
80
70
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELOOR Alfons | 72 |
| 4 | DIGNEF Antoon | 70 |
| 5 | LALOUP Georges | 72 |
| 9 | DELOOR Gustaaf | 79 |
| 9 | ROOSEMONT Leopold | 80 |