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 + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOVARDIANTO Jamalidin | 69 |
| 2 | REZVANI Morteza | 68 |
| 5 | CARSTENSEN Lucas | 69 |
| 8 | CAVANAGH Ryan | 72 |
| 10 | OCONER George | 59 |
| 11 | KIM Euro | 68 |
| 12 | HOLLER Nikodemus | 58 |
| 13 | MAT AMIN Mohd Shahrul | 54 |
| 14 | SAI-UDOMSIN Phuchong | 60 |