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 = 1.9 * weight - 88
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | MONSALVE Yonathan | 62 |
7 | GIL MARTINEZ Tomas Aurelio | 60 |
8 | CHACÓN José Isidro | 63 |
14 | GYUROV Spas | 75 |
22 | OCHOA Carlos José | 62 |
30 | RODRÍGUEZ Jackson | 58 |
31 | UBETO Miguel Armando | 60 |
32 | CARUSO Damiano | 67 |
45 | MAYA Carlos Alberto | 58 |
78 | KERS Koos Jeroen | 71 |
81 | ČANECKÝ Marek | 72 |