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 = 1.9 * weight - 106
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Petrov
1
66 kgJovanović
2
60 kgGerganov
10
60 kgIlias
26
69 kgTomić
30
79 kgNadiradze
70
70 kg
1
66 kgJovanović
2
60 kgGerganov
10
60 kgIlias
26
69 kgTomić
30
79 kgNadiradze
70
70 kg
Weight (KG) →
Result →
79
60
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Daniel Bogomilov | 66 |
| 2 | JOVANOVIĆ Nebojša | 60 |
| 10 | GERGANOV Evgeni | 60 |
| 26 | ILIAS Periklis | 69 |
| 30 | TOMIĆ Marko | 79 |
| 70 | NADIRADZE Giorgi | 70 |