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 = 1.1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIANO Miguel Angel | 58 |
| 2 | ANACONA Winner | 65 |
| 8 | CÁRDENAS Félix Rafael | 59 |
| 9 | PEDRAZA Wálter Fernando | 58 |
| 10 | ARDILA Mauricio Alberto | 58 |
| 16 | GONZÁLEZ Freddy Excelino | 55 |
| 20 | OSPINA Dalivier | 62 |
| 21 | SANDOVAL Edwin Alexander | 64 |
| 28 | PEÑA Victor Hugo | 65 |
| 36 | LAVERDE Luis Felipe | 63 |
| 52 | PANTANO Jarlinson | 61 |
| 63 | ORJUELA Fernando | 60 |