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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | GONZÁLEZ DE GALDEANO Igor | 73 |
2 | RODRÍGUEZ Joaquim | 58 |
3 | HRUŠKA Jan | 62 |
4 | VICIOSO Ángel | 60 |
5 | NOZAL Isidro | 70 |
6 | AZEVEDO José Bento | 59 |
7 | SERRANO Marcos Antonio | 63 |
8 | RUBIERA José Luis | 69 |
9 | VAN HEESWIJK Max | 73 |
10 | BELTRÁN Manuel | 60 |
11 | HERAS Roberto | 59 |
12 | JOACHIM Benoît | 82 |
13 | LANDIS Floyd | 68 |
14 | BARRY Michael | 72 |
15 | HINCAPIE George | 83 |