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 = 0.3 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCANN David | 73 |
| 3 | IGLINSKIY Valentin | 68 |
| 4 | O'LOUGHLIN David | 68 |
| 5 | ELLIOTT Malcolm | 76 |
| 6 | BONČA Valter | 63 |
| 7 | OLIPHANT Evan | 66 |
| 10 | TANNER John | 70 |
| 29 | CLANCY Edward | 79 |
| 37 | SLANE Paul | 64 |
| 38 | DYACHENKO Alexandr | 65 |
| 71 | BRAMMEIER Matt | 72 |
| 82 | WINN Julian | 70 |
| 104 | DMITRIYEV Valeriy | 69 |
| 109 | CAVENDISH Mark | 70 |