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 + 9
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GOH Choon Huat | 54 |
| 6 | MEIJERS Jeroen | 68 |
| 7 | UCHIMA Kohei | 63 |
| 8 | MORALES Jan Paul Montealegre | 59 |
| 9 | GALEDO Mark John Lexer | 58 |
| 10 | NOVARDIANTO Jamalidin | 69 |
| 11 | SALEH Mohd Zamri | 58 |
| 13 | CAHYADI Aiman | 52 |
| 15 | NUR HASAN Sandy | 65 |
| 18 | YOKOTSUKA Kohei | 70 |
| 19 | MISBAH Muhsin Al Redha | 56 |
| 24 | COYLE Jesse | 74 |
| 26 | FELIPE Marcelo | 58 |
| 27 | CARIÑO Daniel Ven | 56 |