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 = 0.5 * weight + 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
21 | MEIER Christian | 61 |
28 | TUFT Svein | 77 |
29 | KVACHUK Oleksandr | 68 |
30 | OCHOA Carlos José | 62 |
37 | PÉREZ Pedro Pablo | 68 |
39 | COSME Antonio | 61 |
50 | ZARATE Jesús | 70 |
77 | PÖLL Stefan | 60 |
84 | PARDILLA Sergio | 65 |
91 | KABUSH Geoff | 75 |
99 | PUGACI Igor | 67 |