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 = -1 * weight + 91
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Earle
12
70 kgSaleh
15
70 kgMat Amin
25
54 kgGaledo
29
58 kgGoh
38
54 kgCamingao
41
55 kgZulkifli
44
65 kg
12
70 kgSaleh
15
70 kgMat Amin
25
54 kgGaledo
29
58 kgGoh
38
54 kgCamingao
41
55 kgZulkifli
44
65 kg
Weight (KG) →
Result →
70
54
12
44
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | EARLE Nathan | 70 |
| 15 | SALEH Mohd Harrif | 70 |
| 25 | MAT AMIN Mohd Shahrul | 54 |
| 29 | GALEDO Mark John Lexer | 58 |
| 38 | GOH Choon Huat | 54 |
| 41 | CAMINGAO John Mark | 55 |
| 44 | ZULKIFLI Nik Mohamad Azman | 65 |