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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Pedraza
4
58 kgArdila
6
58 kgPeña
11
65 kgAlzate
17
74 kgSerpa
20
64 kgZapata
35
62 kgSandoval
51
64 kg
4
58 kgArdila
6
58 kgPeña
11
65 kgAlzate
17
74 kgSerpa
20
64 kgZapata
35
62 kgSandoval
51
64 kg
Weight (KG) →
Result →
74
58
4
51
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PEDRAZA Wálter Fernando | 58 |
| 6 | ARDILA Mauricio Alberto | 58 |
| 11 | PEÑA Victor Hugo | 65 |
| 17 | ALZATE Carlos | 74 |
| 20 | SERPA José Rodolfo | 64 |
| 35 | ZAPATA Javier de Jesús | 62 |
| 51 | SANDOVAL Edwin Alexander | 64 |