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 - 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Maya
3
58 kgSerpa
6
64 kgPérez
7
68 kgOchoa
8
62 kgRamirez
17
71 kgAmador
21
73 kgPérez
27
68 kgRangel
66
63 kg
3
58 kgSerpa
6
64 kgPérez
7
68 kgOchoa
8
62 kgRamirez
17
71 kgAmador
21
73 kgPérez
27
68 kgRangel
66
63 kg
Weight (KG) →
Result →
73
58
3
66
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MAYA Carlos Alberto | 58 |
| 6 | SERPA José Rodolfo | 64 |
| 7 | PÉREZ Marlon Alirio | 68 |
| 8 | OCHOA Carlos José | 62 |
| 17 | RAMIREZ Federico | 71 |
| 21 | AMADOR Andrey | 73 |
| 27 | PÉREZ Pedro Pablo | 68 |
| 66 | RANGEL Hector Hugo | 63 |