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 = 0.1 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GODARD Robert | 65 |
| 1 | LEMARIÉ Raymond | 68 |
| 1 | AUVILLE André | 68 |
| 1 | GALATEAU Fabien | 76 |
| 2 | DISSEAUX Albertin | 67 |
| 2 | FONTENAY Jean | 67 |
| 2 | BUTTAFOCCHI Adrien | 75 |
| 3 | CLOAREC Pierre | 78 |
| 3 | FAVÉ François | 72 |
| 3 | LE DROGO Paul | 69 |
| 4 | LE DROGO Ferdinand | 80 |
| 4 | DE CALUWÉ Edgard | 75 |
| 4 | MOERENHOUT Jef | 72 |
| 5 | RENONCÉ Robert | 72 |