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 = 15.2 * weight - 381
This means that on average for every extra kilogram weight a rider loses 15.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POULIDOR Raymond | 71 |
| 8 | BAILETTI Antonio | 70 |
| 9 | IMPANIS Raymond | 69 |
| 10 | ANQUETIL Jacques | 70 |
| 990 | GRACZYK Jean | 70 |
| 990 | DAEMS Emile | 64 |
| 990 | FORÉ Noël | 73 |
| 990 | VANDEN BERGHEN Willy | 76 |
| 990 | VAN LOOY Rik | 73 |
| 990 | SIMPSON Tom | 69 |
| 990 | FORESTIER Jean | 70 |
| 990 | CERAMI Pino | 72 |
| 990 | TONUCCI Giuseppe | 68 |