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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ABERASTURI Jon | 69 |
| 2 | BARBERO Carlos | 66 |
| 3 | KREDER Raymond | 70 |
| 4 | RÄIM Mihkel | 69 |
| 5 | SANZ Enrique | 67 |
| 7 | PRADES Eduard | 63 |
| 10 | CALDEIRA Samuel José | 76 |
| 11 | SOTO Nelson Andrés | 66 |
| 12 | ÁVILA Edwin | 61 |
| 13 | GONZÁLEZ Mario | 65 |
| 14 | MESTRE Daniel | 65 |
| 17 | HIGUITA Sergio | 57 |
| 18 | MAS Lluís | 69 |
| 19 | RUBIO Diego | 81 |
| 20 | TORRES Albert | 70 |
| 21 | EVTUSHENKO Alexander | 72 |