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 = -0.7 * weight + 96
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 18 | MCCANN David | 73 |
| 31 | JANSE VAN RENSBURG Jacques | 63 |
| 35 | SUZUKI Yuzuru | 57 |
| 36 | GALEDO Mark John Lexer | 58 |
| 57 | ESPIRITU Victor | 56 |
| 71 | GOH Choon Huat | 54 |
| 74 | HATANAKA Yusuke | 72 |
| 82 | SUZUKI Shinri | 60 |