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 + 31
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Earle
1
70 kgGoh
15
54 kgMat Amin
31
54 kgZulkifli
38
65 kgCamingao
39
55 kgGaledo
57
58 kgSaleh
61
70 kg
1
70 kgGoh
15
54 kgMat Amin
31
54 kgZulkifli
38
65 kgCamingao
39
55 kgGaledo
57
58 kgSaleh
61
70 kg
Weight (KG) →
Result →
70
54
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 15 | GOH Choon Huat | 54 |
| 31 | MAT AMIN Mohd Shahrul | 54 |
| 38 | ZULKIFLI Nik Mohamad Azman | 65 |
| 39 | CAMINGAO John Mark | 55 |
| 57 | GALEDO Mark John Lexer | 58 |
| 61 | SALEH Mohd Harrif | 70 |