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 + 8
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Albini
1
70 kgCanepari
2
62 kgLucotti
4
67 kgPratesi
5
74 kgSala
7
62 kg
1
70 kgCanepari
2
62 kgLucotti
4
67 kgPratesi
5
74 kgSala
7
62 kg
Weight (KG) →
Result →
74
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALBINI Pierino | 70 |
| 2 | CANEPARI Clemente | 62 |
| 4 | LUCOTTI Luigi Natale | 67 |
| 5 | PRATESI Ottavio | 74 |
| 7 | SALA Enrico | 62 |