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 + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Örken
4
69 kgSamli
5
75 kgBalkan
7
69 kgHristov
10
57 kgKal
13
72 kgTigrine
15
61 kgBalkan
31
64 kgKüçükbay
37
70 kg
4
69 kgSamli
5
75 kgBalkan
7
69 kgHristov
10
57 kgKal
13
72 kgTigrine
15
61 kgBalkan
31
64 kgKüçükbay
37
70 kg
Weight (KG) →
Result →
75
57
4
37
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ÖRKEN Ahmet | 69 |
| 5 | SAMLI Feritcan | 75 |
| 7 | BALKAN Onur | 69 |
| 10 | HRISTOV Stefan Koychev | 57 |
| 13 | KAL Miraç | 72 |
| 15 | TIGRINE Mehdi | 61 |
| 31 | BALKAN Serkan | 64 |
| 37 | KÜÇÜKBAY Kemal | 70 |