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 = 23.1 * weight - 848
This means that on average for every extra kilogram weight a rider loses 23.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | ANQUETIL Jacques | 70 |
| 9 | CERAMI Pino | 72 |
| 990 | VAN LOOY Rik | 73 |
| 990 | TONUCCI Giuseppe | 68 |
| 990 | SIMPSON Tom | 69 |
| 990 | POULIDOR Raymond | 71 |
| 990 | BOBET Louison | 74 |
| 990 | IMPANIS Raymond | 69 |
| 990 | VANDEN BERGHEN Willy | 76 |
| 990 | POSTL Kurt | 73 |
| 990 | CRINNION Peter | 75 |