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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Hasanin
2
75 kgSayar
5
64 kgYates
7
73 kgAkdilek
12
68 kgČanecký
19
72 kgJawad
23
58 kgKüçükbay
24
70 kgWais
26
71 kg
2
75 kgSayar
5
64 kgYates
7
73 kgAkdilek
12
68 kgČanecký
19
72 kgJawad
23
58 kgKüçükbay
24
70 kgWais
26
71 kg
Weight (KG) →
Result →
75
58
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HASANIN Omar | 75 |
| 5 | SAYAR Mustafa | 64 |
| 7 | YATES Jeremy | 73 |
| 12 | AKDILEK Ahmet | 68 |
| 19 | ČANECKÝ Marek | 72 |
| 23 | JAWAD Mansoor | 58 |
| 24 | KÜÇÜKBAY Kemal | 70 |
| 26 | WAIS Ahmad Badreddin | 71 |