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 + 56
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Saronni
1
65 kgGavazzi
2
67 kgMoser
3
79 kgBaronchelli
4
72 kgArgentin
15
66 kgVandi
22
64 kg
1
65 kgGavazzi
2
67 kgMoser
3
79 kgBaronchelli
4
72 kgArgentin
15
66 kgVandi
22
64 kg
Weight (KG) →
Result →
79
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | GAVAZZI Pierino | 67 |
| 3 | MOSER Francesco | 79 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 15 | ARGENTIN Moreno | 66 |
| 22 | VANDI Alfio | 64 |