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 = -1.1 * weight + 92
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉLISSIER Henri | 72 |
| 3 | PÉLISSIER Francis | 80 |
| 6 | REBOUL Robert | 72 |
| 7 | HUOT Marcel | 66 |
| 8 | LOEW Charles | 76 |
| 9 | VILLE Maurice | 68 |
| 11 | SOUCHARD Achille | 62 |
| 13 | JAVAUX Benjamin | 73 |
| 14 | BRUNIE Marcel | 60 |
| 17 | ARCHELAIS Jean | 64 |
| 21 | PERTUSOT Edmond | 65 |
| 25 | TUFENY Georges | 64 |
| 28 | FLAHAUT Albert | 64 |
| 29 | MASSON Daniel | 63 |
| 30 | VEAU Louis | 60 |
| 44 | HERSARD Alfred | 63 |
| 51 | LE BOUBENNEC Joseph | 70 |