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 = -0.2 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | CHALAPUD Robinson | 63 |
12 | PARRA Heiner Rodrigo | 51 |
13 | GÁLVIZ Carlos Johan | 65 |
14 | LÓPEZ Ian | 64 |
17 | NAVARRO Royner | 62 |
25 | GUAMÁ Byron | 61 |
40 | NARVÁEZ Alexis David | 56 |
53 | CASTAÑO Erick | 66 |
56 | VELASCO Henry | 58 |