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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mizbani
1
67 kgEarle
3
70 kgEbsen
4
58 kgCrawford
5
59 kgAskari
7
73 kgWijaya
11
58 kgGaledo
14
58 kg
1
67 kgEarle
3
70 kgEbsen
4
58 kgCrawford
5
59 kgAskari
7
73 kgWijaya
11
58 kgGaledo
14
58 kg
Weight (KG) →
Result →
73
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 3 | EARLE Nathan | 70 |
| 4 | EBSEN John | 58 |
| 5 | CRAWFORD Jai | 59 |
| 7 | ASKARI Hossein | 73 |
| 11 | WIJAYA Endra | 58 |
| 14 | GALEDO Mark John Lexer | 58 |