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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Lucotti
1
67 kgCanepari
4
62 kgPratesi
5
74 kgAlbini
6
70 kgSala
9
62 kgPavesi
10
72 kg
1
67 kgCanepari
4
62 kgPratesi
5
74 kgAlbini
6
70 kgSala
9
62 kgPavesi
10
72 kg
Weight (KG) →
Result →
74
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUCOTTI Luigi Natale | 67 |
| 4 | CANEPARI Clemente | 62 |
| 5 | PRATESI Ottavio | 74 |
| 6 | ALBINI Pierino | 70 |
| 9 | SALA Enrico | 62 |
| 10 | PAVESI Eberardo | 72 |