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 + 36
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Ballerini
9
78 kgDemierre
10
70 kgPagnin
12
74 kgCenghialta
13
73 kgSørensen
14
70 kg
9
78 kgDemierre
10
70 kgPagnin
12
74 kgCenghialta
13
73 kgSørensen
14
70 kg
Weight (KG) →
Result →
78
70
9
14
# | Rider | Weight (KG) |
---|---|---|
9 | BALLERINI Franco | 78 |
10 | DEMIERRE Serge | 70 |
12 | PAGNIN Roberto | 74 |
13 | CENGHIALTA Bruno | 73 |
14 | SØRENSEN Rolf | 70 |