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) |
|---|---|---|
| 2 | HOEHN Alex | 63 |
| 3 | STITES Tyler | 60 |
| 4 | VILLALOBOS Luis | 66 |
| 7 | SCHUNK Conor | 65 |
| 8 | LANGE Colby | 72 |
| 11 | ROJAS Gabriel Francisco | 59 |
| 12 | GERVAIS Laurent | 72 |
| 15 | GONZÁLEZ Abner | 60 |
| 17 | HAIDET Lance | 59 |
| 18 | HERNANDEZ Michael | 74 |
| 19 | ROBERGE Adam | 72 |
| 21 | BAUSBACHER Evan | 59 |