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 = -5.5 * weight + 412
This means that on average for every extra kilogram weight a rider loses -5.5 positions in the result.
Raabe
1
71 kgBonilla
7
73 kgRamirez
14
71 kgBoillat
19
68 kgRagonessi
41
67 kgValencia
42
71 kgPérez
51
68 kg
1
71 kgBonilla
7
73 kgRamirez
14
71 kgBoillat
19
68 kgRagonessi
41
67 kgValencia
42
71 kgPérez
51
68 kg
Weight (KG) →
Result →
73
67
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 7 | BONILLA José Adrián | 73 |
| 14 | RAMIREZ Federico | 71 |
| 19 | BOILLAT Joris | 68 |
| 41 | RAGONESSI José | 67 |
| 42 | VALENCIA Juan Pablo | 71 |
| 51 | PÉREZ Pedro Pablo | 68 |