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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENAO Sergio | 61 |
| 2 | PANTANO Jarlinson | 61 |
| 4 | ATAPUMA Darwin | 59 |
| 5 | SARMIENTO Cayetano José | 58 |
| 6 | QUINTANA Dayer | 58 |
| 7 | OCHOA Diego Antonio | 61 |
| 8 | TORRES Rodolfo Andrés | 56 |
| 9 | ÁVILA Edwin | 61 |
| 10 | RUBIANO Miguel Angel | 58 |
| 13 | ROMERO Jeffry | 55 |
| 16 | RAMIREZ Brayan Steven | 69 |
| 17 | DÍAZ Edward Fabián | 68 |
| 18 | DUARTE Fabio | 55 |
| 22 | PEDRAZA Wálter Fernando | 58 |
| 26 | MARTÍNEZ Daniel Felipe | 63 |
| 32 | PAREDES Jonathan | 63 |
| 33 | CHAPARRO Didier | 54 |