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 - 29
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Soto
1
66 kgPeñuela
3
56 kgZurita
5
62 kgOsorio
7
62 kgRevete
13
62 kgGodoy
19
64 kgCadena
22
63 kg
1
66 kgPeñuela
3
56 kgZurita
5
62 kgOsorio
7
62 kgRevete
13
62 kgGodoy
19
64 kgCadena
22
63 kg
Weight (KG) →
Result →
66
56
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOTO Nelson Andrés | 66 |
| 3 | PEÑUELA Francisco Joel | 56 |
| 5 | ZURITA Ricardo Alejandro | 62 |
| 7 | OSORIO Alejandro | 62 |
| 13 | REVETE Brayan | 62 |
| 19 | GODOY Yonder | 64 |
| 22 | CADENA Edgar David | 63 |