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 = 2.2 * weight - 120
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Rojas
1
58 kgAguirre
9
55 kgRaabe
10
71 kgOrjuela
14
60 kgErshov
41
70 kgRamirez
50
71 kgSerov
57
77 kg
1
58 kgAguirre
9
55 kgRaabe
10
71 kgOrjuela
14
60 kgErshov
41
70 kgRamirez
50
71 kgSerov
57
77 kg
Weight (KG) →
Result →
77
55
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 9 | AGUIRRE Hernán Ricardo | 55 |
| 10 | RAABE Henry | 71 |
| 14 | ORJUELA Fernando | 60 |
| 41 | ERSHOV Artur | 70 |
| 50 | RAMIREZ Federico | 71 |
| 57 | SEROV Alexander | 77 |