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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Earle
3
70 kgMat Amin
21
54 kgZulkifli
30
65 kgCamingao
32
55 kgGoh
36
54 kgSaleh
45
70 kgGaledo
57
58 kg
3
70 kgMat Amin
21
54 kgZulkifli
30
65 kgCamingao
32
55 kgGoh
36
54 kgSaleh
45
70 kgGaledo
57
58 kg
Weight (KG) →
Result →
70
54
3
57
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EARLE Nathan | 70 |
| 21 | MAT AMIN Mohd Shahrul | 54 |
| 30 | ZULKIFLI Nik Mohamad Azman | 65 |
| 32 | CAMINGAO John Mark | 55 |
| 36 | GOH Choon Huat | 54 |
| 45 | SALEH Mohd Harrif | 70 |
| 57 | GALEDO Mark John Lexer | 58 |