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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kochetkov
1
70 kgPolanc
2
62 kgJurčo
3
69 kgDempster
4
77 kgJelloul
6
58 kgPibernik
7
60 kgPaďour
9
59 kg
1
70 kgPolanc
2
62 kgJurčo
3
69 kgDempster
4
77 kgJelloul
6
58 kgPibernik
7
60 kgPaďour
9
59 kg
Weight (KG) →
Result →
77
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCHETKOV Pavel | 70 |
| 2 | POLANC Jan | 62 |
| 3 | JURČO Matej | 69 |
| 4 | DEMPSTER Zak | 77 |
| 6 | JELLOUL Adil | 58 |
| 7 | PIBERNIK Luka | 60 |
| 9 | PAĎOUR František | 59 |