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 = -3 * weight + 220
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
Saleh
4
70 kgEarle
21
70 kgZulkifli
28
65 kgCamingao
34
55 kgMat Amin
45
54 kgGaledo
54
58 kgGoh
92
54 kg
4
70 kgEarle
21
70 kgZulkifli
28
65 kgCamingao
34
55 kgMat Amin
45
54 kgGaledo
54
58 kgGoh
92
54 kg
Weight (KG) →
Result →
70
54
4
92
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SALEH Mohd Harrif | 70 |
| 21 | EARLE Nathan | 70 |
| 28 | ZULKIFLI Nik Mohamad Azman | 65 |
| 34 | CAMINGAO John Mark | 55 |
| 45 | MAT AMIN Mohd Shahrul | 54 |
| 54 | GALEDO Mark John Lexer | 58 |
| 92 | GOH Choon Huat | 54 |