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 = -1.4 * weight + 120
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Küçükbay
1
70 kgKal
8
72 kgNadiradze
12
70 kgAkdilek
17
68 kgKoep
28
78 kgSayar
38
64 kgSefa
49
72 kgHristov
52
57 kg
1
70 kgKal
8
72 kgNadiradze
12
70 kgAkdilek
17
68 kgKoep
28
78 kgSayar
38
64 kgSefa
49
72 kgHristov
52
57 kg
Weight (KG) →
Result →
78
57
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÜÇÜKBAY Kemal | 70 |
| 8 | KAL Miraç | 72 |
| 12 | NADIRADZE Giorgi | 70 |
| 17 | AKDILEK Ahmet | 68 |
| 28 | KOEP Thomas | 78 |
| 38 | SAYAR Mustafa | 64 |
| 49 | SEFA Ylber | 72 |
| 52 | HRISTOV Stefan Koychev | 57 |