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 - 123
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Guamá
2
61 kgLópez
3
61 kgReyes
4
55 kgOsorio
17
62 kgOsorio
19
65 kgBrenes
21
66 kgVélez
25
66 kgArroyave
29
68 kg
2
61 kgLópez
3
61 kgReyes
4
55 kgOsorio
17
62 kgOsorio
19
65 kgBrenes
21
66 kgVélez
25
66 kgArroyave
29
68 kg
Weight (KG) →
Result →
68
55
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GUAMÁ Byron | 61 |
| 3 | LÓPEZ Robinson Fabián | 61 |
| 4 | REYES Aldemar | 55 |
| 17 | OSORIO Alejandro | 62 |
| 19 | OSORIO Juan Felipe | 65 |
| 21 | BRENES Sebastian | 66 |
| 25 | VÉLEZ Cristian Damián | 66 |
| 29 | ARROYAVE Daniel | 68 |