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 = -10.5 * weight + 763
This means that on average for every extra kilogram weight a rider loses -10.5 positions in the result.
Valencia
3
71 kgRaabe
8
71 kgRamirez
10
71 kgBonilla
21
73 kgRagonessi
50
67 kgBoillat
65
68 kgPérez
69
68 kg
3
71 kgRaabe
8
71 kgRamirez
10
71 kgBonilla
21
73 kgRagonessi
50
67 kgBoillat
65
68 kgPérez
69
68 kg
Weight (KG) →
Result →
73
67
3
69
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VALENCIA Juan Pablo | 71 |
| 8 | RAABE Henry | 71 |
| 10 | RAMIREZ Federico | 71 |
| 21 | BONILLA José Adrián | 73 |
| 50 | RAGONESSI José | 67 |
| 65 | BOILLAT Joris | 68 |
| 69 | PÉREZ Pedro Pablo | 68 |