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 = 0.3 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE VLAEMINCK Roger | 74 |
| 3 | MAERTENS Freddy | 65 |
| 6 | RAAS Jan | 72 |
| 10 | KUIPER Hennie | 69 |
| 11 | MERCKX Eddy | 74 |
| 12 | POULIDOR Raymond | 71 |
| 13 | MOSER Francesco | 79 |
| 14 | DEMEYER Marc | 85 |
| 15 | GODEFROOT Walter | 73 |
| 18 | DIERICKX André | 74 |
| 19 | POLLENTIER Michel | 62 |
| 21 | ZOETEMELK Joop | 68 |
| 23 | PRIEM Cees | 75 |
| 25 | ROSIERS Roger | 78 |
| 28 | ALGERI Vittorio | 68 |
| 30 | SCHUITEN Roy | 83 |