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 = -1.6 * weight + 135
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 4 | RAAS Jan | 72 |
| 14 | KELLY Sean | 77 |
| 19 | POULIDOR Raymond | 71 |
| 21 | ZOETEMELK Joop | 68 |
| 23 | GODEFROOT Walter | 73 |
| 28 | ROSIERS Roger | 78 |
| 41 | SERCU Patrick | 76 |
| 57 | VAN IMPE Lucien | 59 |