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 = 0.6 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SCHOOFS Jasper | 68 |
| 5 | DIJKMAN Daan | 55 |
| 8 | GRUPP Louis | 67 |
| 9 | DE BOCK Aless | 70 |
| 18 | GOOLD Max | 59 |
| 19 | QUINTERO Juan Diego | 62 |
| 36 | ZOMERMAAND Jurgen | 67 |
| 44 | JORDAN Ayden | 61 |
| 55 | WROLICH Manolo | 58 |
| 69 | LISTWON Mikolaj | 73 |