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 = 2.2 * weight - 130
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Delgado
11
64 kgVilamajo
13
70 kgFernández
18
68 kgArgentin
19
66 kgBaronchelli
24
72 kgMartinez
39
80 kgMartinelli
57
74 kg
11
64 kgVilamajo
13
70 kgFernández
18
68 kgArgentin
19
66 kgBaronchelli
24
72 kgMartinez
39
80 kgMartinelli
57
74 kg
Weight (KG) →
Result →
80
64
11
57
# | Rider | Weight (KG) |
---|---|---|
11 | DELGADO Pedro | 64 |
13 | VILAMAJO Jaime | 70 |
18 | FERNÁNDEZ Juan | 68 |
19 | ARGENTIN Moreno | 66 |
24 | BARONCHELLI Gianbattista | 72 |
39 | MARTINEZ Paulino | 80 |
57 | MARTINELLI Giuseppe | 74 |