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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Dignef
2
70 kgDeloor
5
79 kgDeloor
11
72 kgRoosemont
12
80 kgLaloup
13
72 kg
2
70 kgDeloor
5
79 kgDeloor
11
72 kgRoosemont
12
80 kgLaloup
13
72 kg
Weight (KG) →
Result →
80
70
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DIGNEF Antoon | 70 |
| 5 | DELOOR Gustaaf | 79 |
| 11 | DELOOR Alfons | 72 |
| 12 | ROOSEMONT Leopold | 80 |
| 13 | LALOUP Georges | 72 |