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 = 0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Raileanu
2
63 kgKüçükbay
3
70 kgBalykin
4
68 kgBalkan
5
69 kgSamli
6
75 kgPourhashemi
8
64 kgSafarzadeh
9
66 kgSayar
11
64 kgÖrken
12
69 kgMizbani
15
67 kgNemati Khiavi
17
60 kgTiryaki
18
67 kgLavrentyev
31
88 kgFedosseyev
42
61.5 kgGaleyev
43
68 kgAkdilek
45
68 kgTaskan
50
65 kg
2
63 kgKüçükbay
3
70 kgBalykin
4
68 kgBalkan
5
69 kgSamli
6
75 kgPourhashemi
8
64 kgSafarzadeh
9
66 kgSayar
11
64 kgÖrken
12
69 kgMizbani
15
67 kgNemati Khiavi
17
60 kgTiryaki
18
67 kgLavrentyev
31
88 kgFedosseyev
42
61.5 kgGaleyev
43
68 kgAkdilek
45
68 kgTaskan
50
65 kg
Weight (KG) →
Result →
88
60
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAILEANU Cristian | 63 |
| 3 | KÜÇÜKBAY Kemal | 70 |
| 4 | BALYKIN Ivan | 68 |
| 5 | BALKAN Onur | 69 |
| 6 | SAMLI Feritcan | 75 |
| 8 | POURHASHEMI Hamid | 64 |
| 9 | SAFARZADEH Saeid | 66 |
| 11 | SAYAR Mustafa | 64 |
| 12 | ÖRKEN Ahmet | 69 |
| 15 | MIZBANI Ghader | 67 |
| 17 | NEMATI KHIAVI Ali | 60 |
| 18 | TIRYAKI Oguzhan | 67 |
| 31 | LAVRENTYEV Anton | 88 |
| 42 | FEDOSSEYEV Artur | 61.5 |
| 43 | GALEYEV Vadim | 68 |
| 45 | AKDILEK Ahmet | 68 |
| 50 | TASKAN Oguzhan | 65 |