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 = 0.3 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Kal
1
72 kgNadiradze
4
70 kgAkdilek
12
68 kgSayar
15
64 kgSefa
20
72 kgHristov
24
57 kgKoep
35
78 kgKüçükbay
49
70 kg
1
72 kgNadiradze
4
70 kgAkdilek
12
68 kgSayar
15
64 kgSefa
20
72 kgHristov
24
57 kgKoep
35
78 kgKüçükbay
49
70 kg
Weight (KG) →
Result →
78
57
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAL Miraç | 72 |
| 4 | NADIRADZE Giorgi | 70 |
| 12 | AKDILEK Ahmet | 68 |
| 15 | SAYAR Mustafa | 64 |
| 20 | SEFA Ylber | 72 |
| 24 | HRISTOV Stefan Koychev | 57 |
| 35 | KOEP Thomas | 78 |
| 49 | KÜÇÜKBAY Kemal | 70 |