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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Iglinskiy
1
68 kgPetrov
5
66 kgGerganov
7
60 kgSilva
9
71 kgGyurov
10
75 kg
1
68 kgPetrov
5
66 kgGerganov
7
60 kgSilva
9
71 kgGyurov
10
75 kg
Weight (KG) →
Result →
75
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGLINSKIY Valentin | 68 |
| 5 | PETROV Daniel Bogomilov | 66 |
| 7 | GERGANOV Evgeni | 60 |
| 9 | SILVA Luis Filipe | 71 |
| 10 | GYUROV Spas | 75 |