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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Cardona
1
68 kgCañardo
2
77 kgNicolau
5
78 kgElys
6
65 kgViarengo
10
75 kgBobo
35
70 kg
1
68 kgCañardo
2
77 kgNicolau
5
78 kgElys
6
65 kgViarengo
10
75 kgBobo
35
70 kg
Weight (KG) →
Result →
78
65
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARDONA Salvador | 68 |
| 2 | CAÑARDO Mariano | 77 |
| 5 | NICOLAU Josep | 78 |
| 6 | ELYS Cipriano | 65 |
| 10 | VIARENGO Amulio | 75 |
| 35 | BOBO Pierre | 70 |