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 = -0.4 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HARDIQUEST Louis | 72 |
| 6 | CLOAREC Pierre | 78 |
| 9 | AUVILLE André | 68 |
| 14 | MULLER Hubert | 74 |
| 16 | GODARD Robert | 65 |
| 17 | KRAUS Maurice | 61 |
| 17 | PASSAT Raymond | 71 |
| 17 | DISSEAUX Albertin | 67 |
| 17 | GALATEAU Fabien | 76 |
| 17 | BUTTAFOCCHI Adrien | 75 |
| 17 | CARINI Bruno | 69 |
| 35 | LEMARIÉ Raymond | 68 |
| 37 | FAVÉ François | 72 |