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 = 2.5 * weight - 159
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANQUETIL Jacques | 70 |
| 5 | SIMPSON Tom | 69 |
| 7 | VAN LOOY Rik | 73 |
| 9 | POULIDOR Raymond | 71 |
| 11 | BOBET Louison | 74 |
| 11 | IMPANIS Raymond | 69 |
| 14 | CERAMI Pino | 72 |
| 41 | VANDEN BERGHEN Willy | 76 |
| 46 | POSTL Kurt | 73 |
| 52 | TONUCCI Giuseppe | 68 |
| 53 | CRINNION Peter | 75 |