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 = -1.3 * weight + 111
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Colli
1
73 kgKüçükbay
2
70 kgKal
8
72 kgȚvetcov
12
69 kgGyurov
23
75 kgHantzsch
34
62 kgKrotký
39
73 kgPantea
48
69 kg
1
73 kgKüçükbay
2
70 kgKal
8
72 kgȚvetcov
12
69 kgGyurov
23
75 kgHantzsch
34
62 kgKrotký
39
73 kgPantea
48
69 kg
Weight (KG) →
Result →
75
62
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLLI Daniele | 73 |
| 2 | KÜÇÜKBAY Kemal | 70 |
| 8 | KAL Miraç | 72 |
| 12 | ȚVETCOV Serghei | 69 |
| 23 | GYUROV Spas | 75 |
| 34 | HANTZSCH Elmar | 62 |
| 39 | KROTKÝ Rostislav | 73 |
| 48 | PANTEA Marius | 69 |