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 = 0.5 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Gavazzi
2
67 kgPagnin
3
74 kgMoser
6
79 kgBaronchelli
14
72 kgCaroli
16
77 kg
2
67 kgPagnin
3
74 kgMoser
6
79 kgBaronchelli
14
72 kgCaroli
16
77 kg
Weight (KG) →
Result →
79
67
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GAVAZZI Pierino | 67 |
| 3 | PAGNIN Roberto | 74 |
| 6 | MOSER Francesco | 79 |
| 14 | BARONCHELLI Gianbattista | 72 |
| 16 | CAROLI Daniele | 77 |