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 = 0.9 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Hristov
1
57 kgKal
9
72 kgKüçükbay
10
70 kgAkdilek
24
68 kgSefa
29
72 kgSayar
30
64 kgNadiradze
33
70 kg
1
57 kgKal
9
72 kgKüçükbay
10
70 kgAkdilek
24
68 kgSefa
29
72 kgSayar
30
64 kgNadiradze
33
70 kg
Weight (KG) →
Result →
72
57
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HRISTOV Stefan Koychev | 57 |
| 9 | KAL Miraç | 72 |
| 10 | KÜÇÜKBAY Kemal | 70 |
| 24 | AKDILEK Ahmet | 68 |
| 29 | SEFA Ylber | 72 |
| 30 | SAYAR Mustafa | 64 |
| 33 | NADIRADZE Giorgi | 70 |