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 = -1.6 * weight + 136
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
González
2
55 kgBotero
8
75 kgRodríguez
15
58 kgChalapud
43
63 kgPedraza
76
58 kgDuarte
77
55 kg
2
55 kgBotero
8
75 kgRodríguez
15
58 kgChalapud
43
63 kgPedraza
76
58 kgDuarte
77
55 kg
Weight (KG) →
Result →
75
55
2
77
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GONZÁLEZ Freddy Excelino | 55 |
| 8 | BOTERO Santiago | 75 |
| 15 | RODRÍGUEZ Jackson | 58 |
| 43 | CHALAPUD Robinson | 63 |
| 76 | PEDRAZA Wálter Fernando | 58 |
| 77 | DUARTE Fabio | 55 |