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.
Tamouridis
3
70 kgGerganov
12
60 kgPetrov
20
66 kgKorinek
25
69 kgKondis
30
75 kgJovanović
31
60 kg
3
70 kgGerganov
12
60 kgPetrov
20
66 kgKorinek
25
69 kgKondis
30
75 kgJovanović
31
60 kg
Weight (KG) →
Result →
75
60
3
31
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TAMOURIDIS Ioannis | 70 |
| 12 | GERGANOV Evgeni | 60 |
| 20 | PETROV Daniel Bogomilov | 66 |
| 25 | KORINEK Radim | 69 |
| 30 | KONDIS Ľuboš | 75 |
| 31 | JOVANOVIĆ Nebojša | 60 |