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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CULEY Marcus | 69 |
| 3 | WATANABE Shotaro | 65 |
| 5 | CAHYADI Aiman | 52 |
| 6 | OTHMAN Muhamad Afiq Husaine | 57 |
| 7 | JURADO Christofer Robín | 68 |
| 9 | NIQUET-OLDEN Bentley | 75 |
| 10 | ZULKIFLI Nik Mohamad Azman | 65 |
| 13 | MOHD ZARIFF Muhammad Nur Aiman | 63 |
| 19 | SALEH Mohd Harrif | 70 |
| 22 | OKAMOTO Hayato | 65 |
| 23 | AZMAN Muhamad Zawawi | 57 |