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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Pagnin
1
74 kgSaronni
2
65 kgBugno
5
68 kgMoser
6
79 kgBaronchelli
7
72 kgVandi
13
64 kg
1
74 kgSaronni
2
65 kgBugno
5
68 kgMoser
6
79 kgBaronchelli
7
72 kgVandi
13
64 kg
Weight (KG) →
Result →
79
64
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAGNIN Roberto | 74 |
| 2 | SARONNI Giuseppe | 65 |
| 5 | BUGNO Gianni | 68 |
| 6 | MOSER Francesco | 79 |
| 7 | BARONCHELLI Gianbattista | 72 |
| 13 | VANDI Alfio | 64 |