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 + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Sayar
6
64 kgČanecký
7
72 kgHasanin
8
75 kgYates
11
73 kgJawad
18
58 kgAkdilek
21
68 kgKüçükbay
27
70 kgWais
34
71 kg
6
64 kgČanecký
7
72 kgHasanin
8
75 kgYates
11
73 kgJawad
18
58 kgAkdilek
21
68 kgKüçükbay
27
70 kgWais
34
71 kg
Weight (KG) →
Result →
75
58
6
34
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SAYAR Mustafa | 64 |
| 7 | ČANECKÝ Marek | 72 |
| 8 | HASANIN Omar | 75 |
| 11 | YATES Jeremy | 73 |
| 18 | JAWAD Mansoor | 58 |
| 21 | AKDILEK Ahmet | 68 |
| 27 | KÜÇÜKBAY Kemal | 70 |
| 34 | WAIS Ahmad Badreddin | 71 |