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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Cavanagh
1
72 kgJurado
3
68 kgCahyadi
11
52 kgEyob
12
61 kgMat Amin
13
54 kgGoh
14
54 kgCuley
16
69 kg
1
72 kgJurado
3
68 kgCahyadi
11
52 kgEyob
12
61 kgMat Amin
13
54 kgGoh
14
54 kgCuley
16
69 kg
Weight (KG) →
Result →
72
52
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAVANAGH Ryan | 72 |
| 3 | JURADO Christofer Robín | 68 |
| 11 | CAHYADI Aiman | 52 |
| 12 | EYOB Metkel | 61 |
| 13 | MAT AMIN Mohd Shahrul | 54 |
| 14 | GOH Choon Huat | 54 |
| 16 | CULEY Marcus | 69 |