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 = 2.8 * weight - 169
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Argentin
7
66 kgDemierre
15
70 kgImboden
30
70 kgGavazzi
31
67 kgBaronchelli
35
72 kg
7
66 kgDemierre
15
70 kgImboden
30
70 kgGavazzi
31
67 kgBaronchelli
35
72 kg
Weight (KG) →
Result →
72
66
7
35
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ARGENTIN Moreno | 66 |
| 15 | DEMIERRE Serge | 70 |
| 30 | IMBODEN Heinz | 70 |
| 31 | GAVAZZI Pierino | 67 |
| 35 | BARONCHELLI Gianbattista | 72 |