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 = 1.2 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Jovanović
9
60 kgIlias
18
69 kgPetrov
19
66 kgNadiradze
31
70 kgTomić
32
79 kg
9
60 kgIlias
18
69 kgPetrov
19
66 kgNadiradze
31
70 kgTomić
32
79 kg
Weight (KG) →
Result →
79
60
9
32
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | JOVANOVIĆ Nebojša | 60 |
| 18 | ILIAS Periklis | 69 |
| 19 | PETROV Daniel Bogomilov | 66 |
| 31 | NADIRADZE Giorgi | 70 |
| 32 | TOMIĆ Marko | 79 |