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 = 1.3 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
2 | JANSSEN Jan | 76 |
6 | FORÉ Noël | 73 |
17 | NIJDAM Henk | 75 |
27 | SIMPSON Tom | 69 |
33 | KARSTENS Gerben | 74 |
34 | VAN LOOY Rik | 73 |
35 | SWERTS Roger | 75 |
37 | GIMONDI Felice | 78 |
47 | GLEMSER Peter | 82 |
54 | GODEFROOT Walter | 73 |