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 - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Akdilek
2
68 kgKüçükbay
6
70 kgSayar
9
64 kgHasanin
15
75 kgJawad
16
58 kgWais
18
71 kgYates
22
73 kgČanecký
32
72 kg
2
68 kgKüçükbay
6
70 kgSayar
9
64 kgHasanin
15
75 kgJawad
16
58 kgWais
18
71 kgYates
22
73 kgČanecký
32
72 kg
Weight (KG) →
Result →
75
58
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AKDILEK Ahmet | 68 |
| 6 | KÜÇÜKBAY Kemal | 70 |
| 9 | SAYAR Mustafa | 64 |
| 15 | HASANIN Omar | 75 |
| 16 | JAWAD Mansoor | 58 |
| 18 | WAIS Ahmad Badreddin | 71 |
| 22 | YATES Jeremy | 73 |
| 32 | ČANECKÝ Marek | 72 |