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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ballerini
3
78 kgSciandri
5
75 kgGianetti
7
62 kgGotti
12
65 kgBugno
19
68 kgTafi
25
73 kg
3
78 kgSciandri
5
75 kgGianetti
7
62 kgGotti
12
65 kgBugno
19
68 kgTafi
25
73 kg
Weight (KG) →
Result →
78
62
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BALLERINI Franco | 78 |
| 5 | SCIANDRI Maximilian | 75 |
| 7 | GIANETTI Mauro | 62 |
| 12 | GOTTI Ivan | 65 |
| 19 | BUGNO Gianni | 68 |
| 25 | TAFI Andrea | 73 |