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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DISSEAUX Albertin | 67 |
| 6 | PASSAT Raymond | 71 |
| 7 | CARINI Bruno | 69 |
| 8 | CLOAREC Pierre | 78 |
| 9 | GRANIER Honoré | 65 |
| 13 | FAVÉ François | 72 |
| 16 | GALATEAU Fabien | 76 |
| 19 | LEMARIÉ Raymond | 68 |
| 20 | BUTTAFOCCHI Adrien | 75 |
| 23 | GODARD Robert | 65 |
| 25 | MULLER Hubert | 74 |
| 32 | HARDIQUEST Louis | 72 |
| 34 | KRAUS Maurice | 61 |
| 41 | AUVILLE André | 68 |