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 = 0.6 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BRUTT Pavel | 70 |
9 | TONDO Xavier | 68 |
11 | MORENO Daniel | 59 |
19 | DE SCHROODER Benny | 61 |
20 | WILLEMS Frederik | 67 |
22 | PARDILLA Sergio | 65 |
23 | AGIRRE Josu | 68 |
30 | ORTEGA Manuel | 68 |
37 | NAVARRO Daniel | 60 |
41 | AVERIN Maksym | 74 |
44 | VEUCHELEN Frederik | 75 |
45 | ZONNEVELD Thijs | 63 |