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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mizbani
1
67 kgAlizadeh
2
62 kgRogina
3
70 kgAskari
7
73 kgKvachuk
9
68 kgSohrabi
10
69 kgJi
14
67 kgShushemoin
15
62 kg
1
67 kgAlizadeh
2
62 kgRogina
3
70 kgAskari
7
73 kgKvachuk
9
68 kgSohrabi
10
69 kgJi
14
67 kgShushemoin
15
62 kg
Weight (KG) →
Result →
73
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | ALIZADEH Hossein | 62 |
| 3 | ROGINA Radoslav | 70 |
| 7 | ASKARI Hossein | 73 |
| 9 | KVACHUK Oleksandr | 68 |
| 10 | SOHRABI Mehdi | 69 |
| 14 | JI Cheng | 67 |
| 15 | SHUSHEMOIN Alexandr | 62 |