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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIETTO René | 67 |
| 2 | COGAN Pierre | 68 |
| 4 | GIANELLO Dante | 57 |
| 5 | VLAEMYNCK Lucien | 63 |
| 7 | DISSEAUX Albertin | 67 |
| 8 | GOASMAT Jean-Marie | 60 |
| 9 | RAMOS Rafael | 64 |
| 13 | FAURE Benoît | 58 |
| 17 | LOUVIOT Raymond | 62 |
| 24 | RUOZZI Gabriel | 63 |