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 = 0.7 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Argentin
10
66 kgGavazzi
12
67 kgCaroli
17
77 kgBaronchelli
22
72 kgMarcussen
27
70 kg
10
66 kgGavazzi
12
67 kgCaroli
17
77 kgBaronchelli
22
72 kgMarcussen
27
70 kg
Weight (KG) →
Result →
77
66
10
27
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | ARGENTIN Moreno | 66 |
| 12 | GAVAZZI Pierino | 67 |
| 17 | CAROLI Daniele | 77 |
| 22 | BARONCHELLI Gianbattista | 72 |
| 27 | MARCUSSEN Jørgen | 70 |