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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Baronchelli
1
72 kgSaronni
2
65 kgMoser
3
79 kgGavazzi
5
67 kgVandi
13
64 kg
1
72 kgSaronni
2
65 kgMoser
3
79 kgGavazzi
5
67 kgVandi
13
64 kg
Weight (KG) →
Result →
79
64
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | SARONNI Giuseppe | 65 |
| 3 | MOSER Francesco | 79 |
| 5 | GAVAZZI Pierino | 67 |
| 13 | VANDI Alfio | 64 |