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 = 0.3 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BILBAO Pello | 60 |
| 3 | DOUBLE Paul | 56 |
| 4 | ALEOTTI Giovanni | 67 |
| 5 | POZZOVIVO Domenico | 53 |
| 6 | HEALY Ben | 65 |
| 7 | KALOJÍROS Tomáš | 68 |
| 8 | MARCELLUSI Martin | 62 |
| 10 | PELLIZZARI Giulio | 66 |
| 11 | HOPKINS Dylan | 74 |
| 13 | DE MARCHI Alessandro | 65 |
| 16 | ZANA Filippo | 65 |
| 17 | NARVÁEZ Jhonatan | 65 |
| 18 | HAJEK Alexander | 55 |
| 19 | PALUTA Michał | 65 |
| 20 | DECOMBLE Maxime | 62 |
| 21 | BARTHE Cyril | 70 |