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 + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Moser
2
79 kgArgentin
3
66 kgVandi
9
64 kgBaronchelli
16
72 kgBugno
20
68 kg
2
79 kgArgentin
3
66 kgVandi
9
64 kgBaronchelli
16
72 kgBugno
20
68 kg
Weight (KG) →
Result →
79
64
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 3 | ARGENTIN Moreno | 66 |
| 9 | VANDI Alfio | 64 |
| 16 | BARONCHELLI Gianbattista | 72 |
| 20 | BUGNO Gianni | 68 |