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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | RAAS Jan | 72 |
| 5 | MERCKX Eddy | 74 |
| 6 | GODEFROOT Walter | 73 |
| 7 | SERCU Patrick | 76 |
| 8 | DE VLAEMINCK Roger | 74 |
| 13 | PRIEM Cees | 75 |
| 19 | ROSIERS Roger | 78 |
| 21 | DIERICKX André | 74 |
| 22 | POLLENTIER Michel | 62 |
| 25 | DEMEYER Marc | 85 |
| 38 | VAN DEN HOEK Aad | 77 |