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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Raabe
2
71 kgRojas
7
58 kgErshov
10
70 kgAguirre
12
55 kgOrjuela
13
60 kgSerov
19
77 kgRamirez
32
71 kg
2
71 kgRojas
7
58 kgErshov
10
70 kgAguirre
12
55 kgOrjuela
13
60 kgSerov
19
77 kgRamirez
32
71 kg
Weight (KG) →
Result →
77
55
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAABE Henry | 71 |
| 7 | ROJAS Juan Carlos | 58 |
| 10 | ERSHOV Artur | 70 |
| 12 | AGUIRRE Hernán Ricardo | 55 |
| 13 | ORJUELA Fernando | 60 |
| 19 | SEROV Alexander | 77 |
| 32 | RAMIREZ Federico | 71 |