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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURN Uroš | 70 |
| 2 | CORIONI Claudio | 67 |
| 3 | ARTETXE Mikel | 61 |
| 4 | BILEKA Volodymyr | 65 |
| 5 | EDO Ángel | 64 |
| 6 | RIGHI Daniele | 70 |
| 9 | FRIGO Dario | 66 |
| 10 | FLORENCIO Xavier | 59 |
| 12 | GUTIÉRREZ José Iván | 71 |
| 13 | CARUSO Giampaolo | 60 |
| 14 | JUFRÉ Josep | 65 |
| 15 | BENÍTEZ José Alberto | 66 |
| 16 | GUTIÉRREZ José Enrique | 78 |
| 17 | GONZÁLEZ Santos | 70 |
| 18 | JØRGENSEN René | 60 |
| 19 | PEÑA Victor Hugo | 65 |