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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIZIKS Arvis | 70 |
| 2 | LAFIS Michel | 78 |
| 3 | CHANTEUR Pascal | 62 |
| 5 | BROCHARD Laurent | 68 |
| 6 | HEULOT Stéphane | 69 |
| 7 | EKIMOV Viatcheslav | 69 |
| 8 | ZAMANA Cezary | 74 |
| 9 | BLAUDZUN Michael | 66 |
| 11 | BOUYER Franck | 65 |
| 13 | GOUGOT Fabrice | 72 |
| 14 | RUÉ Gérard | 74 |
| 15 | VIERHOUTEN Aart | 71 |
| 19 | ALDAG Rolf | 75 |