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 = -1.4 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Tamouridis
2
70 kgNüttli
4
70 kgChadwick
17
75 kgKorinek
22
69 kgKondis
27
75 kgPetrov
34
66 kgGerganov
40
60 kg
2
70 kgNüttli
4
70 kgChadwick
17
75 kgKorinek
22
69 kgKondis
27
75 kgPetrov
34
66 kgGerganov
40
60 kg
Weight (KG) →
Result →
75
60
2
40
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAMOURIDIS Ioannis | 70 |
| 4 | NÜTTLI Jean | 70 |
| 17 | CHADWICK Glen Alan | 75 |
| 22 | KORINEK Radim | 69 |
| 27 | KONDIS Ľuboš | 75 |
| 34 | PETROV Daniel Bogomilov | 66 |
| 40 | GERGANOV Evgeni | 60 |