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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTT Jacob | 68 |
| 3 | SESSLER Nícolas | 58 |
| 4 | DLAMINI Nic | 66 |
| 9 | DILLIER Silvan | 75 |
| 10 | PORTE Richie | 62 |
| 11 | KWIATKOWSKI Michał | 68 |
| 12 | ROSSKOPF Joey | 74 |
| 13 | HOLLYMAN Mason | 59 |
| 14 | LEEMREIZE Gijs | 66 |