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 = 0.6 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 4 | CAVENDISH Mark | 70 |
| 9 | MCCANN David | 73 |
| 13 | DYACHENKO Alexandr | 65 |
| 15 | O'LOUGHLIN David | 68 |
| 20 | BONČA Valter | 63 |
| 23 | IGLINSKIY Valentin | 68 |
| 25 | DMITRIYEV Valeriy | 69 |
| 38 | TANNER John | 70 |
| 39 | SLANE Paul | 64 |
| 75 | BRAMMEIER Matt | 72 |
| 81 | CLANCY Edward | 79 |
| 113 | OLIPHANT Evan | 66 |