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 = -1.1 * weight + 92
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Saleh
2
70 kgMat Amin
4
54 kgEarle
18
70 kgZulkifli
26
65 kgCamingao
33
55 kgGoh
37
54 kgGaledo
59
58 kg
2
70 kgMat Amin
4
54 kgEarle
18
70 kgZulkifli
26
65 kgCamingao
33
55 kgGoh
37
54 kgGaledo
59
58 kg
Weight (KG) →
Result →
70
54
2
59
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SALEH Mohd Harrif | 70 |
| 4 | MAT AMIN Mohd Shahrul | 54 |
| 18 | EARLE Nathan | 70 |
| 26 | ZULKIFLI Nik Mohamad Azman | 65 |
| 33 | CAMINGAO John Mark | 55 |
| 37 | GOH Choon Huat | 54 |
| 59 | GALEDO Mark John Lexer | 58 |