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 = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROSPE Ismael Jr. | 54 |
| 2 | FELIPE Marcelo | 58 |
| 3 | CARCUEVA Jonel | 51 |
| 4 | ABDURRAHMAN Muhammad | 56 |
| 6 | SAI-UDOMSIN Phuchong | 60 |
| 7 | NUR HASAN Sandy | 65 |
| 8 | RAILEANU Cristian | 63 |
| 10 | REZVANI Morteza | 68 |
| 14 | HIBATULAH Jamal | 55 |
| 15 | CHAIYASOMBAT Thanakhan | 58 |
| 22 | GANJKHANLOU Mohammad | 72 |
| 24 | HANDGRAAF Sjors | 66 |
| 29 | NOVARDIANTO Jamalidin | 69 |
| 32 | HAMDAN Wan Abdul Rahman | 66 |
| 35 | MOHD ZARIFF Muhammad Nur Aiman | 63 |