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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jovanović
3
60 kgWacker
7
65 kgNadiradze
8
70 kgTomić
11
79 kgKusztor
17
61 kgKüçükbay
20
70 kgAsadov
26
77 kg
3
60 kgWacker
7
65 kgNadiradze
8
70 kgTomić
11
79 kgKusztor
17
61 kgKüçükbay
20
70 kgAsadov
26
77 kg
Weight (KG) →
Result →
79
60
3
26
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JOVANOVIĆ Nebojša | 60 |
| 7 | WACKER Eugen | 65 |
| 8 | NADIRADZE Giorgi | 70 |
| 11 | TOMIĆ Marko | 79 |
| 17 | KUSZTOR Péter | 61 |
| 20 | KÜÇÜKBAY Kemal | 70 |
| 26 | ASADOV Elchin | 77 |