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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | URTASUN Pablo | 69 |
| 2 | LASCA Francesco | 65 |
| 3 | SANZ Enrique | 67 |
| 4 | ROJAS José Joaquín | 70 |
| 5 | BARBERO Carlos | 66 |
| 6 | LOBATO Juan José | 64 |
| 7 | GALLAND Jérémie | 62 |
| 9 | MORENO Javier | 63 |
| 10 | CARDOSO André | 56 |
| 11 | HANSON Ken | 74 |
| 12 | MANCEBO Francisco | 64 |
| 13 | PFINGSTEN Christoph | 69 |
| 14 | JEANDESBOZ Fabrice | 69 |
| 15 | SHALUNOV Evgeny | 70 |