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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Petiva
4
71 kgPavesi
6
72 kgAlbini
7
70 kgCanepari
8
62 kgRossignoli
10
71 kg
4
71 kgPavesi
6
72 kgAlbini
7
70 kgCanepari
8
62 kgRossignoli
10
71 kg
Weight (KG) →
Result →
72
62
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PETIVA Emilio | 71 |
| 6 | PAVESI Eberardo | 72 |
| 7 | ALBINI Pierino | 70 |
| 8 | CANEPARI Clemente | 62 |
| 10 | ROSSIGNOLI Giovanni | 71 |