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 - 74
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Hristov
1
57 kgSayar
6
64 kgSefa
11
72 kgKal
14
72 kgAkdilek
17
68 kgKüçükbay
26
70 kgKoep
29
78 kgNadiradze
42
70 kg
1
57 kgSayar
6
64 kgSefa
11
72 kgKal
14
72 kgAkdilek
17
68 kgKüçükbay
26
70 kgKoep
29
78 kgNadiradze
42
70 kg
Weight (KG) →
Result →
78
57
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HRISTOV Stefan Koychev | 57 |
| 6 | SAYAR Mustafa | 64 |
| 11 | SEFA Ylber | 72 |
| 14 | KAL Miraç | 72 |
| 17 | AKDILEK Ahmet | 68 |
| 26 | KÜÇÜKBAY Kemal | 70 |
| 29 | KOEP Thomas | 78 |
| 42 | NADIRADZE Giorgi | 70 |