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 = 0.9 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Rodas
1
68 kgGuamá
7
61 kgRojas
13
58 kgPerez Cuapio
22
58 kgRagonessi
40
67 kgGálviz
46
65 kg
1
68 kgGuamá
7
61 kgRojas
13
58 kgPerez Cuapio
22
58 kgRagonessi
40
67 kgGálviz
46
65 kg
Weight (KG) →
Result →
68
58
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RODAS Manuel | 68 |
| 7 | GUAMÁ Byron | 61 |
| 13 | ROJAS Juan Carlos | 58 |
| 22 | PEREZ CUAPIO Julio Alberto | 58 |
| 40 | RAGONESSI José | 67 |
| 46 | GÁLVIZ Carlos Johan | 65 |