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 = 0.9 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
8 | OCHOA Carlos José | 62 |
14 | MAYA Carlos Alberto | 58 |
21 | ZARATE Jesús | 70 |
35 | CHACÓN José Isidro | 63 |
39 | RANGEL Hector Hugo | 63 |
47 | RAMIREZ Federico | 71 |
50 | RODRÍGUEZ Jackson | 58 |
56 | RAABE Henry | 71 |
57 | AMADOR Andrey | 73 |
63 | GIL MARTINEZ Tomas Aurelio | 60 |