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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOREAU Christophe | 71 |
| 2 | O'GRADY Stuart | 73 |
| 4 | BASSONS Christophe | 74 |
| 5 | BLAUDZUN Michael | 66 |
| 6 | HERNANDEZ Jaime Javier | 70 |
| 7 | HEULOT Stéphane | 69 |
| 8 | IVANOV Sergei | 73 |
| 9 | NEWTON Christopher | 69 |
| 10 | RINERO Christophe | 65 |
| 11 | MANNING Paul | 76 |
| 13 | DIAZ Rafael | 55 |
| 14 | RUBIERA José Luis | 69 |
| 17 | JALABERT Nicolas | 68 |
| 19 | PRETOT Arnaud | 71 |
| 20 | CAÑADA David | 65 |