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 = -0.4 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Albini
1
70 kgLucotti
2
67 kgPratesi
3
74 kgSala
6
62 kgCanepari
7
62 kg
1
70 kgLucotti
2
67 kgPratesi
3
74 kgSala
6
62 kgCanepari
7
62 kg
Weight (KG) →
Result →
74
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALBINI Pierino | 70 |
| 2 | LUCOTTI Luigi Natale | 67 |
| 3 | PRATESI Ottavio | 74 |
| 6 | SALA Enrico | 62 |
| 7 | CANEPARI Clemente | 62 |