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 - 10
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Earle
2
70 kgMat Amin
6
54 kgGaledo
12
58 kgCamingao
16
55 kgZulkifli
39
65 kgGoh
43
54 kgSaleh
51
70 kg
2
70 kgMat Amin
6
54 kgGaledo
12
58 kgCamingao
16
55 kgZulkifli
39
65 kgGoh
43
54 kgSaleh
51
70 kg
Weight (KG) →
Result →
70
54
2
51
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EARLE Nathan | 70 |
| 6 | MAT AMIN Mohd Shahrul | 54 |
| 12 | GALEDO Mark John Lexer | 58 |
| 16 | CAMINGAO John Mark | 55 |
| 39 | ZULKIFLI Nik Mohamad Azman | 65 |
| 43 | GOH Choon Huat | 54 |
| 51 | SALEH Mohd Harrif | 70 |