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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAILEANU Cristian | 63 |
| 5 | GROSPE Ismael Jr. | 54 |
| 6 | NOVARDIANTO Jamalidin | 69 |
| 7 | CARCUEVA Jonel | 51 |
| 8 | HIBATULAH Jamal | 55 |
| 9 | FELIPE Marcelo | 58 |
| 13 | GANJKHANLOU Mohammad | 72 |
| 14 | ABDURRAHMAN Muhammad | 56 |
| 16 | CHAIYASOMBAT Thanakhan | 58 |
| 18 | HANDGRAAF Sjors | 66 |
| 23 | REZVANI Morteza | 68 |
| 26 | NUR HASAN Sandy | 65 |
| 30 | HAMDAN Wan Abdul Rahman | 66 |
| 32 | SAI-UDOMSIN Phuchong | 60 |