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 = -0.7 * weight + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Moazemi
1
70 kgKazemi
2
71 kgKolahdozhagh
3
60 kgAskari
4
73 kgZargari
7
62 kgFelipe
8
58 kgHatsuyama
9
59 kgSetiawan
10
61 kgCrawford
12
59 kgMonier
14
75 kgGarcía
16
68 kgWijaya
20
58 kgMizbani
21
67 kgMat Amin
23
54 kgYokoyama
25
57 kgIrawan
26
51 kgManulang
27
59 kg
1
70 kgKazemi
2
71 kgKolahdozhagh
3
60 kgAskari
4
73 kgZargari
7
62 kgFelipe
8
58 kgHatsuyama
9
59 kgSetiawan
10
61 kgCrawford
12
59 kgMonier
14
75 kgGarcía
16
68 kgWijaya
20
58 kgMizbani
21
67 kgMat Amin
23
54 kgYokoyama
25
57 kgIrawan
26
51 kgManulang
27
59 kg
Weight (KG) →
Result →
75
51
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOAZEMI Arvin | 70 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 3 | KOLAHDOZHAGH Amir | 60 |
| 4 | ASKARI Hossein | 73 |
| 7 | ZARGARI Amir | 62 |
| 8 | FELIPE Marcelo | 58 |
| 9 | HATSUYAMA Sho | 59 |
| 10 | SETIAWAN Andreas Odie Purnama | 61 |
| 12 | CRAWFORD Jai | 59 |
| 14 | MONIER Damien | 75 |
| 16 | GARCÍA Ricardo | 68 |
| 20 | WIJAYA Endra | 58 |
| 21 | MIZBANI Ghader | 67 |
| 23 | MAT AMIN Mohd Shahrul | 54 |
| 25 | YOKOYAMA Kota | 57 |
| 26 | IRAWAN Jefri | 51 |
| 27 | MANULANG Robin | 59 |