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 = -0.8 * weight + 97
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | NOVAL Benjamín | 72 |
17 | SALAMIN Antoine | 72 |
21 | FRIGO Davide | 68 |
22 | JORDAN Ayden | 61 |
25 | DENTELLI Giacomo | 67 |
26 | JACKOWIAK Jan Michal | 65 |
39 | ROSATO Giacomo | 57 |
69 | GOLDSTEIN Or | 57 |
72 | HEWES Alex | 69 |
106 | DAVIDOV Igor | 56 |
121 | MARKOVIC Gavrilo | 75 |