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 = -2.4 * weight + 195
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 4 | POULIDOR Raymond | 71 |
| 5 | JANSSEN Jan | 76 |
| 19 | BALMAMION Franco | 67 |
| 26 | GRACZYK Jean | 70 |
| 48 | BAILETTI Antonio | 70 |
| 50 | BARIVIERA Vendramino | 72 |
| 59 | RÉAUX Raymond | 69 |