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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERVAEKE Louis | 68 |
| 2 | CALMEJANE Lilian | 70 |
| 3 | FOLIFOROV Alexander | 61 |
| 5 | BENOOT Tiesj | 72 |
| 6 | ROSÓN Jaime | 62 |
| 7 | SUAZA Bernardo | 66 |
| 12 | ARSLANOV Ildar | 63 |
| 14 | LATOUR Pierre | 66 |
| 16 | CHETOUT Loïc | 70 |
| 17 | BIDARD François | 65 |
| 18 | OCHOA Diego Antonio | 61 |
| 23 | PACHER Quentin | 62 |
| 24 | OIEN Justin | 68 |
| 26 | CONSTANTIN Baptiste | 66 |
| 27 | SCHULTZ Nick | 68 |