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 + 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | SÁNCHEZ Samuel | 65 |
| 3 | PLAZA Rubén | 77 |
| 4 | MORENO Daniel | 59 |
| 6 | DEL NERO Jesús | 73 |
| 9 | ARTETXE Mikel | 61 |
| 11 | MAZZANTI Luca | 64 |
| 16 | DE SÁRRAGA Mario | 69 |
| 17 | PALUMBO Giuseppe | 61 |
| 21 | TORRENT Carlos | 71 |
| 26 | EDO Ángel | 64 |
| 27 | TXURRUKA Amets | 58 |
| 29 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 30 | HONCHAR Serhiy | 67 |
| 34 | CASERO Rafael | 74 |
| 35 | HOVELIJNCK Kurt | 75 |