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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Cañardo
1
77 kgEzquerra
2
63 kgRoosemont
3
80 kgFigueras
8
70 kgElys
10
65 kg
1
77 kgEzquerra
2
63 kgRoosemont
3
80 kgFigueras
8
70 kgElys
10
65 kg
Weight (KG) →
Result →
80
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAÑARDO Mariano | 77 |
| 2 | EZQUERRA Federico | 63 |
| 3 | ROOSEMONT Leopold | 80 |
| 8 | FIGUERAS Isidro | 70 |
| 10 | ELYS Cipriano | 65 |