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 = -9.5 * weight + 1465
This means that on average for every extra kilogram weight a rider loses -9.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | DIERICKX André | 74 |
| 990 | HARRISON Derek | 73 |
| 990 | JOLLY Brian | 76 |
| 990 | ROSIERS Roger | 78 |
| 990 | PIJNEN René | 72 |
| 990 | SCHLECK Johny | 72 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | JANSEN Harrie | 70 |
| 990 | SCHUTZ Edy | 72 |
| 990 | DOLMAN Evert | 71 |
| 990 | DÍAZ Ventura | 72 |
| 990 | TSCHAN Jürgen | 68 |
| 990 | PARENTEAU Jean-Pierre | 68 |