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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PICCOLI James | 65 |
| 3 | STITES Tyler | 60 |
| 5 | GRANIGAN Noah | 76 |
| 6 | PRADO Ignacio de Jesús | 65 |
| 7 | GERVAIS Laurent | 72 |
| 10 | CASTILLO Ulises Alfredo | 72 |
| 11 | LEPLINGARD Antoine | 68 |
| 13 | PALAMAREK Ethan | 61 |
| 14 | HOEHN Alex | 63 |