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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AZEVEDO José Bento | 59 |
| 2 | ETXEBARRIA Unai | 68 |
| 3 | ZÜLLE Alex | 72 |
| 5 | PIEPOLI Leonardo | 54 |
| 6 | GAMITO Vitor | 66 |
| 8 | AMORIM Gonçalo | 67 |
| 10 | GERRIKAGOITIA Gorka | 63 |
| 12 | BUXHOFER Matthias | 70 |
| 13 | RODRIGUES Orlando Sergio | 68 |
| 15 | GUTIÉRREZ José Enrique | 78 |
| 17 | SMETANINE Serguei | 69 |