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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Borgarello
1
71 kgGremo
6
74 kgFasoli
7
70 kgPavesi
8
72 kgSala
9
62 kg
1
71 kgGremo
6
74 kgFasoli
7
70 kgPavesi
8
72 kgSala
9
62 kg
Weight (KG) →
Result →
74
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORGARELLO Vincenzo | 71 |
| 6 | GREMO Angelo | 74 |
| 7 | FASOLI Pietro | 70 |
| 8 | PAVESI Eberardo | 72 |
| 9 | SALA Enrico | 62 |