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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOLIFOROV Alexander | 61 |
| 2 | OSORIO Juan Felipe | 65 |
| 3 | VERVAEKE Louis | 68 |
| 4 | PACHER Quentin | 62 |
| 5 | ROSÓN Jaime | 62 |
| 6 | OCHOA Diego Antonio | 61 |
| 9 | CALMEJANE Lilian | 70 |
| 10 | SUAZA Bernardo | 66 |
| 12 | LATOUR Pierre | 66 |
| 15 | ARSLANOV Ildar | 63 |
| 16 | BENOOT Tiesj | 72 |
| 21 | AGUIRRE Hernán Ricardo | 55 |
| 22 | CHETOUT Loïc | 70 |
| 23 | DUMOURIER Florian | 60 |
| 24 | OIEN Justin | 68 |