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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KONYSHEV Dmitry | 77 |
| 2 | RODRIGUES Orlando Sergio | 68 |
| 3 | HERAS Roberto | 59 |
| 4 | BELTRÁN Manuel | 60 |
| 5 | JIMÉNEZ José María | 70 |
| 6 | PICCOLI Mariano | 64 |
| 7 | BELOKI Joseba | 68 |
| 9 | TOTSCHNIG Georg | 62 |
| 12 | ESCARTÍN Fernando | 61 |
| 13 | CASERO Ángel Luis | 72 |
| 14 | LAISEKA Roberto | 63 |
| 15 | ETXEBARRIA Unai | 68 |
| 16 | HERVÉ Pascal | 62 |