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 = 1.5 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCCANN David | 73 |
| 3 | ELLIOTT Malcolm | 76 |
| 11 | SLANE Paul | 64 |
| 17 | DYACHENKO Alexandr | 65 |
| 20 | O'LOUGHLIN David | 68 |
| 30 | BONČA Valter | 63 |
| 34 | WINN Julian | 70 |
| 42 | IGLINSKIY Valentin | 68 |
| 48 | TANNER John | 70 |
| 51 | CAVENDISH Mark | 70 |
| 53 | DMITRIYEV Valeriy | 69 |
| 54 | OLIPHANT Evan | 66 |
| 77 | CLANCY Edward | 79 |
| 85 | BRAMMEIER Matt | 72 |