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 + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Colli
6
73 kgKüçükbay
8
70 kgȚvetcov
16
69 kgHantzsch
24
62 kgKrotký
25
73 kgGyurov
28
75 kgKal
35
72 kgPantea
48
69 kg
6
73 kgKüçükbay
8
70 kgȚvetcov
16
69 kgHantzsch
24
62 kgKrotký
25
73 kgGyurov
28
75 kgKal
35
72 kgPantea
48
69 kg
Weight (KG) →
Result →
75
62
6
48
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | COLLI Daniele | 73 |
| 8 | KÜÇÜKBAY Kemal | 70 |
| 16 | ȚVETCOV Serghei | 69 |
| 24 | HANTZSCH Elmar | 62 |
| 25 | KROTKÝ Rostislav | 73 |
| 28 | GYUROV Spas | 75 |
| 35 | KAL Miraç | 72 |
| 48 | PANTEA Marius | 69 |