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 = 2.2 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
6 | PINZÓN Edgar Andrés | 62 |
7 | GOMEZ Camilo Andres | 64.5 |
9 | VILORIA Enmanuel David | 64 |
15 | GÁLVIZ Carlos Johan | 65 |
20 | ROJAS Brandon Alejandro | 64 |
24 | RUIZ Jeferson Armando | 57 |
25 | GODOY Yonder | 64 |
37 | ARROYAVE Daniel | 68 |
49 | AVILA Freddy Alejandro | 70 |